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Books

1. Manton, J. H. and Amblard, P.-O. (2015). A Primer on Reproducing Kernel Hilbert Spaces. Now Foundations and Trends, 138 pages.

Journal Papers

2. Maass, A. I., Manzie, C., Nesic, D., Manton, J. H. and Shames, I. (2022). Tracking and regret bounds for online zeroth-order Euclidean and Riemannian optimisation. SIAM Journal on Optimization.
3. Xu, Z., Dong, S., Manton, J. H. and Shieh, W. (2022). Low-Complexity Multi-Task Learning Aided Neural Networks for Equalization in Short-Reach Optical Interconnects. Journal of Lightwave Technology, 40(1), pp. 45–54.
4. Xu, Z., Sun, C., Manton, J. H. and Shieh, W. (2021). Joint Equalization of Linear and Nonlinear Impairments for PAM4 Short-Reach Direct Detection Systems. IEEE Photonics Technology Letters, 33(9), pp. 425–428.
5. Xu, Z., Sun, C., Ji, T., Manton, J. H. and Shieh, W. (2020). Feedforward and Recurrent Neural Network-Based Transfer Learning for Nonlinear Equalization in Short-Reach Optical Links. Journal of Lightwave Technology, 39(2), pp. 475–480.
6. Kato, Y., Steiner, T. M., Park, H., Hitchcock, R. O., Zaid, Al., Hor, J. L., Devi, S., Davey, G. M., Vremec, D., Tullett, K. M., Tan, P. S., Ahmet, F., Mueller, S. N., Alonso, S., Tarlinton, D. M., Ploegh, H. L., Kaisho, T., Beattie, L., Manton, J. H., Fernandez-Ruiz, D., Shortman, K., Lahoud, M. H., Heath, W. R. and Caminschi, I. (2020). Display of Native Antigen on cDC1 That Have Spatial Access to Both T and B Cells Underlies Efficient Humoral Vaccination. The Journal of Immunology, 205(7), pp. 1842–1856.
7. Xu, Z., Sun, C., Ji, T., Manton, J. H. and Shieh, W. (2020). Cascade Recurrent Neural Network-Assisted Nonlinear Equalization for a 100 Gb/s PAM4 Short-Reach Direct Detection System. Optics Letters, 45(15), pp. 4216–4219.
8. Said, S. and Manton, J. H. (2021). Riemannian Barycenters of Gibbs Distributions: New Results on Concentration and Convexity. Information Geometry, 4, pp. 329–362.
9. Manton, J. H. (2020). Geometry, Manifolds and Nonconvex Optimization: How Geometry Can Help Optimization. IEEE Signal Processing Magazine, 37(5), pp. 109–119.
10. Chakraborty, R., Bouza, J., Manton, J. H. and Vemuri, B. C. (2022). ManifoldNet: A Deep Neural Network for Manifold-valued Data with Applications. Transactions on Pattern Analysis and Machine Intelligence, 44(2), pp. 799–810.
11. McLean, C., Pauley, M. and Manton, J. H. (2020). Non-parametric Decompounding of Pulse Pile-up Under Gaussian Noise With Finite Data Sets. IEEE Transactions on Signal Processing, 68(1), pp. 2114–2127.
12. Pauley, M., McLean, C. and Manton, J. H. (2020). A Numerical Filtering Method for Linear State-space Models with Markov Switching. International Journal of Adaptive Control and Signal Processing, 34(7), pp. 813–838.
13. Xu, Z., Sun, C., Ji, T., Manton, J. H. and Shieh, W. (2019). Computational Complexity Comparison of Feedforward/Radial Basis Function/Recurrent Neural Network-based Equalizer for a 50-Gb/s PAM4 Direct-detection Optical Link. Optics Express, 27(25), pp. 36953–36964.
14. Shames, I., Selvaratnam, D. and Manton, J. H. (2019). Online Optimization Using Zeroth Order Oracles. IEEE Control Systems Letters, 4(1), pp. 31–36.
15. Deng, G., Manton, J. H. and Wang, S. (2018). Fast Kernel Smoothing by a Low-Rank Approximation of the Kernel Toeplitz Matrix. Journal of Mathematical Imaging and Vision, 60(8), pp. 1181–1195.
16. Pauley, M. and Manton, J. H. (2018). The Existence Question for Maximum-Likelihood Estimators in Time-of-Arrival-Based Localization. IEEE Signal Processing Letters, 25(9), pp. 1354–1358.
17. Khatibi, S., Zhu, H.-J., Wagner, J., Tan, C. W., Manton, J. H. and Burgess, A. W. (2017). Mathematical Model of TGF-β signalling: Feedback Coupling Is Consistent with Signal Switching. BMC Systems Biology, 11(48), pp. 1–15.
18. Said, S., Bombrun, L., Berthoumieu, Y. and Manton, J. H. (2017). Riemannian Gaussian Distributions on the Space of Symmetric Positive Definite Matrices. IEEE Transactions on Information Theory, 63(4), pp. 2153–2170.
19. Khatibi, S., Babon, J., Wagner, J., Manton, J. H., Tan, C. W., Zhu, H.-J., Wormald, S. and Burgess, A. W. (2017). TGF-β and IL-6 Family Signalling Crosstalk: an Integrated Model. Growth Factors, 35(2-3), pp. 100–124.
20. Kuhlmann, L., Manton, J. H., Heyse, B., Vereecke, H. E. M., Lipping, T., Struys, M. M. R. F. and Liley, D. T. J. (2017). Tracking Electroencephalographic Changes using Distributions of Linear Models: Application to Propofol-based Depth of Anesthesia Monitoring. IEEE Transactions on Biomedical Engineering, 64(4), pp. 870–881.
21. Le Bihan, N., Flamant, J. and Manton, J. H. (2016). Density Estimation on the Rotation Group using Diffusive Wavelets. Journal of Advances in Information Fusion, 11(2), pp. 173–185.
22. Flamant, J., Le Bihan, N., Martin, A. V. and Manton. J. H. (2016). Expansion-maximization-compression Algorithm with Spherical Harmonics for Single Particle Imaging with X-ray Lasers. Physical Review E, 93(5), 14 pages.
23. Boulanger, J., Said, S., Le Bihan, N. and Manton, J. H. (2016). Filtering from Observations on Stiefel Manifolds. Signal Processing, 122, pp. 52–64.
24. Le Bihan, N., Chatelain, F. and Manton, J. H. (2016). Isotropic Multiple Scattering Processes on Hyperspheres. IEEE Transactions on Information Theory, 62(10), pp. 5740–5752.
25. Fernandez-Ruiz, D., Ng, W. Y., Holz, L. E., Ma, J. Z., Zaid, A., Wong, Y. C., Lau, L. S., Mollard, V., Cozijnsen, A., Collins, N., Li, J., Davey, G. M., Kato, Y., Devi, S., Skandari, R., Pauley, M., Manton, J. H., Godfrey, D. I., Braun, A., Tay, S. S., Tan, P. S., Bowen, D. G., Koch-Nolte, F., Rissiek, B., Carbone, F. R., Crabb, B. S., Lahoud, M., Cockburn, I. A., Mueller, S. N., Bertolino, P., McFadden, G. I., Caminschi, I. and Heath, W. R. (2016). Liver-Resident Memory CD8⁺ T Cells Form a Front-Line Defense against Malaria Liver-Stage Infection. Immunology, 45(4), pp. 889–902.
26. Kuhlmann, L., Freestone, D. R., Manton, J. H., Heyse, B., Vereecke, H. E., Lipping, T., Struys, M. M. and Liley, D. T. (2016). Neural Mass Model-based Tracking of Anesthetic Brain States. Neuroimage, 133, pp. 438–456.
27. Cao, C., Wang, Z., Zukerman, M., Manton, J. H., Bensoussan, A. and Wang Y. (2016). Optimal Cable Laying Across an Earthquake Fault Line Considering Elliptical Failures. IEEE Transactions on Reliability, 65(3), pp. 1536–1550.
28. Said, S. and Manton, J. H. (2016). Particle Filtering with Observations in a Manifold: A Proof of Convergence and Two Worked Examples. Journal of Advances in Information Fusion, 11(2), pp. 227–249.
29. Manton, J. H. (2015). A Framework for Generalising the Newton Method and Other Iterative Methods from Euclidean Space to Manifolds. Numerische Mathematik, 129(1), pp. 91–125.
30. Kuhlmann, L., Hauser-Raspe, M., Manton, J. H., Grayden, D. B., Tapson, J. and Van Schaik, A. (2014). Approximate, Computationally Efficient Online Learning in Bayesian Spiking Neurons. Neural Computation, 26, pp. 472–496.
31. Said, S. and Manton, J. H. (2014). Asymptotic Properties of Maximum Likelihood Estimation: Parametrised Diffusion in a Manifold. Stochastic Analysis and Applications, 32(2), pp. 298–327.
32. Gao, Q., Manton, J. H., Chen, G. and Hua, Y. (2014). Constellation Design for a Multicarrier Optical Wireless Communication Channel. IEEE Transactions on Communications, 62(1), pp. 214–225.
33. Zaid, A., Mackay, L. K., Rahimpour, A., Braun, A., Veldoen, M., Carbone, F. R., Manton, J. H., Heath, W. R. and Mueller, S. N. (2014). Persistence of Skin Resident Memory T Cells within an Epidermal Niche. PNAS (Proceedings of the National Academy of Sciences of the United States of America), 111(14), pp. 5307–5312.
34. Manton, J. H. (2013). A Primer on Stochastic Differential Geometry for Signal Processing. Journal of Selected Topics in Signal Processing, 7(4), pp. 681–699.
35. Lu, J., Kazmierczak, E., Manton, J. H. and Sinclair, R. (2013). Automatic Segmentation of Scaling in 2-D Psoriasis Skin Images. IEEE Transactions on Medical Imaging, 32(4), pp. 719–730.
36. Manton, J. H., Applebaum, D., Ikeda, S. and Le Bihan, N. (2013). Introduction to the Issue on Differential Geometry in Signal Processing. IEEE Journal of Selected Topics in Signal Processing, 7(4), pp. 573–575.
37. Said, S. and Manton, J. H. (2013). On Filtering with Observation in a Manifold: Reduction to a Classical Filtering Problem. SIAM Journal on Control and Optimization, 51(1), pp. 767–783.
38. Said, S., Amblard, P. O. and Manton, J. H. (2013). Stationary Random Fields Arising from Second Order Partial Differential Equations on Compact Lie Groups. IEEE Transactions on Information Theory, 59(6), pp. 3497–3513.
39. Cao, C., Zukerman, M., Wu, W., Manton, J. H. and Moran, W. (2013). Survivable Topology Design of Submarine Networks. IEEE/OSA Journal of Lightwave Technology, 31(5), pp. 715–730.
40. Cao, S.-Q. and Manton, J. H. (2013). Unsupervised Optimal Discriminant Vector Based Feature Selection Method. Mathematical Problems in Engineering, 7 pages.
41. Said, S. and Manton, J. H. (2012). Brownian Processes for Monte Carlo Integration on Compact Lie Groups. Stochastic Analysis and Applications, 30(6), pp. 1062–1082.
42. Said, S. and Manton, J. H. (2012). Extrinsic Mean of Brownian Distributions on Compact Lie Groups. IEEE Transactions on Information Theory, 58(6), pp. 3521–3535.
43. Hall, L. T., Beart, G. C. G., Thomas, E., Simpson, D. A., McGuinness, L. P., Cole, J. H., Manton, J. H., Scholten, R. E., Jelezko, F., Wrachtrup, J., Petrou, S. and Hollenberg, L. C. L. (2012). High Spatial and Temporal Resolution Wide-field Imaging of Neuron Activity Using Quantum NV-diamond. Scientific Reports, 2(401), 9 pages.
44. McDonnell, M. D., Ikeda, S. and Manton, J. H. (2011). An Introductory Review of Information Theory in the Context of Computational Neuroscience. Biological Cybernetics, 105(1), pp. 55–70.
45. Li, L., Scaglione, A. and Manton, J. H. (2011). Distributed Principal Subspace Estimation in Wireless Sensor Networks. Journal of Selected Topics in Signal Processing, 5(4), pp. 725–738.
46. Su, X., Chan, S. and Manton, J. H. (2010). Bandwidth Allocation in Wireless Ad Hoc Networks: Challenges and Prospects. IEEE Communications Magazine, 48(1), pp. 80–85.
47. Said, S., Le Bihan, N., Lageman, C. and Manton, J. H. (2010). Decompounding on Compact Lie Groups. IEEE Transactions on Information Theory, 56(6), pp. 2766–2777.
48. Huang, M. and Manton, J. H. (2010). Stochastic Consensus Seeking with Noisy and Directed Inter-Agent Communication: Fixed and Randomly Varying Topologies. IEEE Transactions on Automatic Control, 55(1), pp. 235–241.
49. Huang, M., Dey, S., Nair, G. N. and Manton, J. H. (2010). Stochastic Consensus over Noisy Networks with Markovian and Arbitrary Switches. Automatica, 46(10), pp. 1571–1583.
50. Wang, S. and Manton, J. H. (2009). A Cross-Relation-Based Frequency-Domain Method for Blind SIMO-OFDM Channel Estimation. IEEE Signal Processing Letters, 16(10), pp. 865–868.
51. Wang, S. and Manton, J. H. (2009). Blind Channel Estimation for Non-CP OFDM Systems Using Multiple Receive Antennas. IEEE Signal Processing Letters, 16(4), pp. 299–302.
52. Ikeda, S. and Manton, J. H. (2009). Capacity of a Single Spiking Neuron Channel. Neural Computation, 21(6), pp. 1714–1748.
53. Huang, M. and Manton, J. H. (2009). Coordination and Consensus of Networked Agents with Noisy Measurements: Stochastic Algorithms and Asymptotic Behavior. SIAM Journal on Control and Optimization, 48(1), pp. 134–161.
54. Torokhti, A. and Manton, J. H. (2009). Generic Weighted Filtering of Stochastic Signals. IEEE Transactions on Signal Processing, 57(12), pp. 4675–4685.
55. Wang, S. and Manton, J. H. (2008). Blind SIMO Channel Identification Using FFT/IFFT. Signal Processing, 88(12), pp. 3007–3010.
56. Wang, S. and Manton, J. H. (2008). FFT/IFFT based Blind SIMO Channel Identification. Special Issue on Communications, ECTI Transactions on Electrical Engineering, Electronics and Communications, 6(2), pp. 158–163.
57. Sun, H., Shi, Z., Zhao, C., Manton, J. H. and Ding, Z. (2008). Progressive Linear Precoder Optimization for MIMO Packet Retransmissions Exploiting Channel Covariance Information. IEEE Transactions on Communications, 56(5), pp. 818–827.
58. Wang, S., Manton, J., Tay, D., Zhang, C. and Devlin, J. (2007). An FFT-Based Method for Blind Identification of FIR SIMO Channels. IEEE Signal Processing Letters, 14(7), pp. 437–440.
59. Zia, A., Reilly, J. P., Manton, J. and Shirani, S. (2007). An Information Geometric Approach to ML Estimation With Incomplete Data: Application to Semi-Blind MIMO Channel Identification. IEEE Transactions on Signal Processing, 55(8), pp. 3975–3986.
60. Hung, H.-C., Iizuka, Y., Bellwood, P., Nguyen, K. D., Bellina, B., Silapanth, P., Dizon, E., Santiago, R., Datan, I. and Manton, J. H. (2007). Ancient Jades Map 3000 Years of Prehistoric Exchange in Southeast Asia. PNAS (Proceedings of the National Academy of Sciences of the United States of America), 104(50), pp. 19745–19750.
61. Manton, J. H. (2006). A Centroid (Karcher Mean) Approach to the Joint Approximate Diagonalisation Problem: The Real Symmetric Case. Digital Signal Processing, 16(5), pp. 468–478.
62. Attallah, S., Manton, J. H. and Abed-Meraim, K. (2006). Convergence Analysis of the NOJA Algorithm using the ODE Approach. Signal Processing, 86(11), pp. 3490–3495.
63. An, S., Liu, W. and Manton, J. H. (2006). Extreme Point Results for Robust Stability of Nested Polynomial Families with Real Coefficients. International Journal on Statistics and Systems, 1(1), pp. 29–55.
64. Sun, H., Manton, J. H. and Ding, Z. (2006). Progressive Linear Precoder Optimization for MIMO Packet Retransmissions. IEEE Journal on Selected Areas in Communications, 24(3), pp. 448–456.
65. Manton, J. H., Helmke, U. and Mareels, I. M. Y. (2005). A Dual Purpose Principal and Minor Component Flow. Systems and Control Letters, 54(8), pp. 759–769.
66. An, S., Manton, J. H. and Hua, Y. (2005). A Sequential Subspace Method for Blind Identification of General FIR MIMO Channels. IEEE Transactions on Signal Processing, 53(10), pp. 3906–3910.
67. Shahbazpanahi, S., Gershman, A. B. and Manton, J. H. (2005). Closed-Form Blind MIMO Channel Estimation for Orthogonal Space-Time Block Codes. IEEE Transactions on Signal Processing, 53(12), pp. 4506–4517.
68. An, S., Hua, Y., Manton, J. H. and Fang, Z. (2005). Group Decorrelation Enhanced Subspace Method for Identifying FIR MIMO Channels Driven by Unknown Uncorrelated Colored Sources. IEEE Transactions on Signal Processing, 53(12), pp. 4429–4441.
69. Manton, J. H., Neumann, W. D. and Norbury, P. T. (2005). On the Algebraic Identifiability of Finite Impulse Response Channels Driven by Linearly Precoded Signals. Systems and Control Letters, 54(2), pp. 125–134.
70. Rahbar, K., Reilly, J. P. and Manton, J. H. (2004). Blind Identification of MIMO FIR Systems Driven by Quasi-Stationary Sources Using Second Order Statistics: A Frequency Domain Approach. IEEE Transactions on Signal Processing, 52(2), pp. 406–417.
71. Manton, J. H. (2003). Design and Analysis of Linear Precoders Under A Mean Square Error Criterion, Part I: Foundations and Worst Case Designs. Systems and Control Letters, 49(2), pp. 121–130.
72. Manton, J. H. (2003). Design and Analysis of Linear Precoders Under A Mean Square Error Criterion, Part II: MMSE Designs and Conclusions. Systems and Control Letters, 49(2), pp. 131–140.
73. Manton, J. H., Mahony, R. and Hua, Y. (2003). The Geometry of Weighted Low Rank Approximations. IEEE Transactions on Signal Processing, 51(2), pp. 500–514.
74. Manton, J. H. and Neumann, W. D. (2003). Totally Blind Channel Identification By Exploiting Guard Intervals. Systems and Control Letters, 48(2), pp. 113–119.
75. Manton, J. H. (2002). An Improved Least Squares Blind Channel Identification Algorithm for Linearly and Affinely Precoded Communication Systems. IEEE Signal Processing Letters, 9(9), pp. 282–285.
76. Manton, J. H. (2002). An OFDM Interpretation of Zero Padded Block Transmissions. Systems and Control Letters, 47(5), pp. 393–399.
77. Manton, J. H. (2002). Finite Alphabet Source Recovery in Polynomial Systems. Systems and Control Letters, 47(4), pp. 279–286.
78. Manton, J. H. (2002). Optimisation Algorithms Exploiting Unitary Constraints. IEEE Transactions on Signal Processing, 50(3), pp. 635–650.
79. Manton, J. H. (2002). The Convex Geometry of Sub-Channel Attenuation Coefficients in Linearly Precoded OFDM Systems. IEEE Transactions on Information Theory, 48(5), pp. 1203–1206.
80. Mahony, R. and Manton, J. H. (2002). The Geometry of the Newton Method on Non-Compact Lie Groups. Journal of Global Optimization, 23(3), pp. 309–327.
81. Abed-Meraim, K., Xiang, Y., Manton, J. H. and Hua, Y. (2001). Blind Source Separation Using Second-Order Cyclostationary Statistics. IEEE Transactions on Signal Processing, 49(4), pp. 694–701.
82. Manton, J. H. (2001). Dissecting OFDM: The Independent Roles of the Cyclic Prefix and the IDFT Operation. IEEE Communications Letters, 5(12), pp. 474–476.
83. Manton, J. H. (2001). Optimal Training Sequences and Pilot Tones for OFDM Systems. IEEE Communications Letters, 5(4), pp. 151–153.
84. Manton, J. H. and Hua, Y. (2001). Robust Frequency Domain Precoders. IEEE Communications Letters, 5(2), pp. 40–42.
85. Manton, J. H. and Hua, Y. (1999). A Frequency Domain Deterministic Approach to Channel Identification. IEEE Signal Processing Letters, 6(12), pp. 323–326.
86. Manton, J. H., Krishnamurthy, V. and Elliott, R. J. (1999). Discrete Time Filters for Doubly Stochastic Poisson Processes and Other Exponential Noise Models. International Journal of Adaptive Control and Signal Processing, 13(5), pp. 393–416.
87. Manton, J. H. and Hua, Y. (1999). Rank Reduction and James-Stein Estimation. IEEE Transactions on Signal Processing, 47(11), pp. 3121–3125.
88. Manton, J. H., Krishnamurthy, V. and Poor, H. V. (1998). James-Stein State Filtering Algorithms. IEEE Transactions on Signal Processing, 46(9), pp. 2431–2447.

Book Chapters

89. Lu, J., Kazmierczak, E., Manton, J. H. and Sinclair, R. (2015). Machine Learning Methods for Segmenting Psoriatic Lesions from 2D Images. In Frontiers of Medical Imaging, World Scientific. pp. 121–149.
90. Manton, J. H. (2013). Optimisation Geometry. In Mathematical System Theory — Festschrift in Honor of Uwe Helmke on the Occasion of his Sixtieth Birthday, CreateSpace. pp. 261–274.
91. Li, L., Li, X., Scaglione, A. and Manton, J. H. (2010). Decentralized Subspace Tracking via Gossiping. In Distributed Computing in Sensor Systems, Springer. pp. 130–143.
92. Moran, W. and Manton, J. H. (2004). Group Theory in Radar and Signal Processing. In Computational Noncommutative Algebra and Applications, Kluwer Academic Publishers. pp. 339–362.
93. Helmke, U., Yoshizawa, S., Evans, R., Manton, J. H. and Mareels, I. M. Y. (2003). Dynamics of Principal and Minor Component Flows. In Unsolved Problems in Mathematical Systems and Control Theory, Princeton University Press. pp. 122–127.
94. Manton, J. H. and Hua, Y. (2000). Blind Channel Identifiability with an Arbitrary Linear Precoder. In Signal Processing Advances in Communications, Prentice-Hall. pp. 339–366.

Conference Papers

95. Xu, Z., Dong, S., Jiang, C., Manton, J. H. and Shieh, W. (2021). Sparsely-Connected Cascade Recurrent Neural Network-Based Nonlinear Equalizer for a 100-Gb/s PAM4 Optical Interconnect. Asia Communications and Photonics Conference, Shanghai, China, 3 pages.
96. Wu, X., Manton, J. H., Aickelin, U. and Zhu, J. (2021). Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge. IEEE International Symposium on Information Theory, Melbourne, Australia, 6 pages.
97. Said, S., Le Bihan, N. and Manton, J. H. (2021). From Bayesian Inference to MCMC and Convex Optimisation in Hadamard Manifolds. International Conference on Geometric Science of Information, Paris, France, 9 pages.
98. Xu, Z., Sun, C., Dong, S., Manton, J. H. and Shieh, W. (2021). Towards Low Computational Complexity for Neural Network-Based Equalization in PAM4 Short-Reach Direct Detection Systems by Multi-Symbol Prediction. Optical Fiber Communications Conference and Exhibition (OFC), Washington DC, USA, 3 pages.
99. Xu, Z., Sun, C., Manton, J. H. and Shieh, W. (2020). Performance and Computational Complexity Evaluation for Neural Network-Based Short-Reach Optical Links. 14th Pacific Rim Conference on Lasers and Electro-Optics (CLEO PR 2020), Sydney, Australia, 3 pages.
100. Lefevre, J., Le Bihan, N. and Manton, J. H. (2020). An Optimisation Geometry Framework for the Rayleigh Quotient. 28th European Signal Processing Conference (EUSIPCO 2020), Amsterdam, The Netherlands, 5 pages.
101. Said, S., Le Bihan, N. and Manton, J. H. (2021). Hidden Markov Chains and Fields With Observations in Riemannian Manifolds. 24th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2020), Cambridge, UK, 6 pages.
102. Lefevre, J., Bouchard, F., Said, S., Le Bihan, N. and Manton, J. H. (2021). On Riemannian and non-Riemannian Optimisation, and Optimisation Geometry. 24th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2020), Cambridge, UK, 6 pages.
103. Wu, X., Manton, J. H., Aickelin, U. and Zhu, J. (2020). Information-theoretic Analysis for Transfer Learning. IEEE International Symposium on Information Theory, Los Angeles, California, USA, 6 pages.
104. Tolmachev, P. and Manton, J. H. (2020). New Insights on Learning Rules for Hopfield Networks: Memory and Objective Function Minimisation. International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 8 pages.
105. Chakraborty, R., Bouza, J., Manton, J. and Vemuri, B. C. (2019). A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging. International Conference on Information Processing in Medical Imaging, The Hong Kong University of Science and Technology, Hong Kong, 13 pages.
106. Xu, Z., Sun, C., Manton, J. H. and Shieh, W. (2019). Computational Complexity Analysis of Neural Network-based Nonlinear Equalization for Short Reach Direct Detection Systems. Asia Communications and Photonics Conference, Chengdu, Sichuan, China, 3 pages.
107. Said, S. and Manton, J. H. (2019). The Riemannian Barycentre as a Proxy for Global Optimisation. Geometric Science of Information, Toulouse, France, 8 pages.
108. Tolmachev, P., Pauley, M. and Manton, J. H. (2018). A Distributed Transmission Scheduling Algorithm For Wireless Networks Based On The Ising Model. IEEE Statistical Signal Processing Workshop (SSP), Freiburg, Germany, 5 pages.
109. Pauley, M. and Manton, J. H. (2018). Global Optimisation for Time of Arrival-Based Localisation. IEEE Statistical Signal Processing Workshop (SSP), Freiburg, Germany, 5 pages.
110. McLean, C., Pauley, M. and Manton, J. H. (2018). Limitations of Decision Based Pile-up Correction Algorithms. IEEE Statistical Signal Processing Workshop (SSP), Freiburg, Germany, 5 pages.
111. Tolmachev, P., Dhingra, R. R., Pauley, M., Dutschmann, M. and Manton, J. H. (2018). Modeling the Respiratory Central Pattern Generator with Resonate-and-Fire Izhikevich Neurons. International Conference on Neural Information Processing, Siem Reap, Cambodia, 13 pages.
112. Selvaratnam, D. D., Shames, I., Manton, J. H. and Zamani, M. (2018). Numerical Optimisation of Time-Varying Strongly Convex Functions Subject to Time-Varying Constraints. IEEE Conference on Decision and Control (CDC), Miami Beach, Florida, USA, 6 pages.
113. Selvaratnam, D., Shames, I., Dimarogonas, D. V., Manton, J. H. and Ristic, B. (2017). Co-operative Estimation for Source Localisation using Binary Sensors. 56th IEEE Conference on Decision and Control, Melbourne, Australia, 6 pages.
114. Chatelain, F., Le Bihan, N. and Manton, J. H. (2017). Density Estimation for Compound Cox Processes on Hyperspheres. International Conference on Geometric Science of Information, Paris, France, 8 pages.
115. Pauley, M., McLean, C. and Manton, J. H. (2017). Numerical Filtering of Linear State-Space Models with Markov Switching. IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, USA, 5 pages.
116. Manton, J. H. and Le Bihan, N. (2017). On some Global Topological Aspects of Manifold Learning. IEEE International Conference on Image Processing, Beijing, China, 5 pages.
117. Pauley, M. and Manton, J. H. (2017). Optimisation Geometry and its Implications for Optimisation Algorithms. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Curacao, Dutch Antilles, 4 pages.
118. McLean, C., Pauley, M. and Manton, J. H. (2017). Performance Metrics for Energy Spectrum Estimation. IEEE GlobalSIP General Symposium, Montreal, Canada, 5 pages.
119. Said, S., Le Bihan, N. and Manton, J. H. (2017). Riemannian Gaussian Distributions on the Space of Positive-Definite Quaternion Matrices. International Conference on Geometric Science of Information, Paris, France, 8 pages.
120. Flamant, J., Le Bihan, N., Martin, A. V. and Manton, J. H. (2016). Low-Resolution Reconstruction of Intensity Functions on the Sphere for Single-Particle Diffraction Imaging. IEEE International Conference on Acoustics, Speech, and Signal Processing, Shanghai, China, 5 pages.
121. Skandari, R., Iino, Y. and Manton. J. H. (2016). On an Analogue Signal Processing Circuit in the Nematode C. elegans. 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, Florida, USA, 4 pages.
122. Selvaratnam, D. D., Shames, I., Ristic, B. and Manton, J. H. (2016). The Effect of Sensor Modality on Posterior Cramer-Rao Bounds for Simultaneous Localisation and Mapping. 9th IFAC Symposium on Intelligent Autonomous Vehicles (IAV), Leipzig, Germany, 6 pages.
123. Skandari, R., Le Bihan, N. and Manton, J. H. (2015). C. Elegans Locomotion Analysis using Algorithmic Information Theory. 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milano, Italy, 4 pages.
124. Chatelain, F., Le Bihan, N. and Manton, J. H. (2015). Parameter Estimation for Multiple Scattering Process on the Sphere. IEEE International Conference on Acoustics, Speech, and Signal Processing, Brisbane, Australia, 5 pages.
125. Said, S. and Manton, J. H. (2015). Particle Filtering with Observations in a Manifold. IEEE International Conference on Acoustics, Speech, and Signal Processing, Brisbane, Australia, 5 pages.
126. Shishegar, R., Manton, J. H., Walker, D. W., Britto, J. M. and Johnston, L. A. (2015). Quantifying Gyrification using Laplace Beltrami Eigenfunction Level-sets. IEEE International Symposium on Biomedical Imaging, New York, USA, 4 pages.
127. Boulanger, J., Le Bihan, N., Said, S. and Manton, J. H. (2014). Monte-Carlo Estimation from Observation on Stiefel Manifold. IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, 5 pages.
128. Khong, S. Z., Cantoni, M. and Manton, J. H. (2013). A Gap Metric Perspective of Well-posedness for Nonlinear Feedback Interconnections. Australian Control Conference, Perth, Australia, 6 pages.
129. Lu, J., Kazmierczak, E., Manton, J. H. and Sinclair, R. (2013). A Quantitative Technique for Assessing the Change in Severity over Time in Psoriatic Lesions Using Computer Aided Image Analysis. 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, 4 pages.
130. Amblard, P. O. and Manton, J. H. (2013). On Data Sparsification and a Recursive Algorithm for Estimating a Kernel-based Measure of Independence. IEEE International Conference on Acoustics, Speech, and Signal Processing, Vancouver, Canada, 5 pages.
131. Huang, M. and Manton, J. H. (2013). Opinion Dynamics with Noisy Information. 52nd IEEE Conference on Decision and Control, Florence, Italy, 6 pages.
132. Gao, Q., Manton, J. H., Chen, G. and Hua, Y. (2013). Power-efficient Constellation Design for a Multicarrier Optical Wireless System. Military Communications Conference (MILCOM'13), San Diego, USA, 6 pages.
133. Lu, J., Kazmiercazk, E., Manton, J. and Sinclair, R. (2012). Automatic Scoring of Erythema and Scaling Severity in Psoriasis Diagnosis. Australasian Joint Conference on Artificial Intelligence, Sydney, Australia, 12 pages.
134. Said, S., Manton, J. H. and Amblard, P. O. (2012). On a Class of Filtering Problems with Observation in a Riemannian Manifold. 20th International Symposium on Mathematical Theory of Networks and Systems, Melbourne, Australia, 7 pages.
135. Kuhlmann, L., Hauser-Raspe, M., Manton, J., Grayden, D. B., Tapson, J. and van Schaik, A. (2012). Online learning in Bayesian Spiking Neurons. International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, 6 pages.
136. Boulanger, J., Le Bihan, N. and Manton, J. H. (2012). Wiener filtering of rotation processes using ordered exponential. IEEE Statistical Signal Processing Workshop (SSP), Ann Arbor, 4 pages.
137. Razaeian, M., Manton, J. H. and Moran, B. (2011). Tracking Markov Targets in Binary Sensor Networks: Source Coding and Large Deviation Limits on the Required Number of Queries. Eighth International Conference on Information, Comunication and Signal Processing (ICICS 2011), Singapore, 6 pages.
138. Lu, J., Manton, J. H., Kazmierczak, E. and Sinclair, R. (2010). Erythema Detection in Digital Skin Images. International Conference on Image Processing, Hong Kong, 4 pages.
139. Ikeda, S. and Manton, J. H. (2009). Capacity of a Single Spiking Neuron Channel. Proceedings of the International Workshop on Statistical-Mechanical Informatics, Kyoto, Japan, 14 pages.
140. Said, S., Le Bihan, N., Lageman, C. and Manton, J. H. (2009). Nonparametric Estimation for Compound Poisson Processes on Compact Lie Groups. IEEE International Conference on Acoustics, Speech and Signal Processing, Taipei, Taiwan, 4 pages.
141. Ikeda, S. and Manton, J. H. (2009). Spiking Neuron Channel. IEEE International Symposium on Information Theory, Seoul, Korea, 5 pages.
142. Wu, W., Moran, B., Manton, J. H. and Zukerman, M. (2009). Topology Design of Undersea Cables Considering Survivability Under Major Disasters. Proceedings of Advanced Information Networking and Applications Workshop, WAINA'09, Bradford, UK, 4 pages.
143. Wang, S. and Manton, J. H. (2009). Zero Prefix Precoder-Based Blind SIMO Channel Estimation. 7th International Conference on Control and Automation, Christchurch, New Zealand, 3 pages.
144. Ji, H., Manton, J. H. and Moore, J. B. (2008). A Globally Convergent Conjugate Gradient Method for Minimizing Self-Concordant Functions on Riemannian Manifolds. 17th IFAC World Congress, Seoul, Korea, 6 pages.
145. Le Bihan, N., Said, S., Lageman, C., Manton, J. H. and Margerin, L. (2008). Decompounding on Compact Lie Groups. IMA Conference on Mathematics in Signal Processing, Cirencester, UK, 4 pages.
146. Huang, M. and Manton, J. H. (2008). Stochastic Consensus Seeking with Measurement Noise: Convergence and Asymptotic Normality. American Control Conference, Seattle, Washington, USA, 6 pages.
147. Lageman, C., Helmke, U. and Manton, J. H. (2008). The nonsmooth Newton method on Riemannian manifolds. 18th International Symposium on Mathematical Theory of Networks and Systems, Virginia, USA, 8 pages.
148. Ji, H., Huang, M., Moore, J. B. and Manton, J. H. (2007). A Globally Convergent Conjugate Gradient Method for Minimizing Self-Concordant Functions with Application to Constrained Optimisation Problems. American Control Conference, New York, USA, 6 pages.
149. Wang, S. and Manton, J. H. (2007). Blind Multichannel Identification via Frequency Selection. International Symposium on Communications and Information Technologies, Sydney, Australia, 4 pages.
150. Absil, P.-A., Lageman, C. and Manton, J. H. (2007). Design of Continuous-Time Flows on Intertwined Orbit Spaces. IEEE Conference on Decision and Control, Louisiana, USA, 6 pages.
151. Said, S., Le Bihan, N. and Manton, J. H. (2007). Neyman-Pearson Detection on SU(2): An Application to Polarized Signals. Physics in Signal and Information Processing, Mulhouse, France, 4 pages.
152. Krakowski, K. A., Huper, K. and Manton, J. H. (2007). On the Computation of the Karcher Mean on Spheres and Special Orthogonal Groups. Workshop on Robotics and Mathematics (RoboMat), Coimbra, Portugal, 6 pages.
153. Huang, M. and Manton, J. H. (2007). Stochastic Approximation for Consensus Seeking: Mean Square and Almost Sure Convergence. IEEE Conference on Decision and Control, Louisiana, USA, 6 pages.
154. Huang, M. and Manton, J. H. (2007). Stochastic Double Array Analysis and Convergence of Consensus Algorithms with Noisy Measurements. American Control Conference, New York, USA, 6 pages.
155. Huang, M. and Manton, J. H. (2007). Stochastic Lyapunov Analysis for Consensus Algorithms with Noisy Measurements. American Control Conference, New York, USA, 6 pages.
156. Webers, C. and Manton, J. H. (2006). A Generalisation of the Oja Subspace Flow. Seventeenth International Symposium on Mathematical Theory of Networks and Systems, Kyoto, Japan, 5 pages.
157. Wang, S. and Manton, J. (2006). A Low Complexity Frequency-Domain Approach to SIMO System Identification. International Conference on Control, Automation, Robotics and Vision, Singapore, 4 pages.
158. Brace, I. and Manton, J. H. (2006). An Improved BFGS-on-Manifold Algorithm for Computing Weighted Low Rank Approximations. Seventeenth International Symposium on Mathematical Theory of Networks and Systems, Kyoto, Japan, 4 pages.
159. Sadeghi, P., Manton, J. H. and Rapajic, P. (2006). An Information-Theoretic Measure for the Selection of Effective Memory Order in Flat-Fading Channels. NEWCOM-ACoRN Joint Workshop, Vienna, Austria, 5 pages.
160. Trumpf, J., Manton, J. and Mahony, R. (2006). Curvature Based Updates for Optimization Problems on a Hypersurface. Seventeenth International Symposium on Mathematical Theory of Networks and Systems, Kyoto, Japan, 4 pages.
161. Xavier, J. and Manton, J. H. (2006). On the Generalization of AR Processes to Riemannian Manifolds. IEEE International Conference on Acoustics, Speech and Signal Processing, Toulouse, France, 4 pages.
162. Varma, A. R., Athaudage, C., Andrew, L. L. H. and Manton, J. H. (2006). Optimal Superimposed Pilot Training for OFDM Channel Estimation. Signal Processing Advances in Wireless Communications, Cannes, France, 5 pages.
163. Varma, A. R., Athaudage, C. R. N., Andrew, L. L. H. and Manton, J. H. (2006). Phase Noise Compensation for OFDM Wlan Systems using Superimposed Pilots. IEEE International Conference on Communication systems, Singapore, 5 pages.
164. Manton, J. H. (2005). A Globally Convergent Riemannian Geometric Based Algorithm for Solving the Joint Diagonalisation Problem. Defence Applications of Signal Processing, Utah, USA, 5 pages.
165. Sun, H., Samra, H., Ding, Z. and Manton, J. H. (2005). Constrained Capacity of Linear Precoded ARQ in MIMO Wireless Systems. IEEE International Conference on Acoustics, Speech and Signal Processing, Philadelphia, USA, 4 pages.
166. Nikpour, M., Huper, K. and Manton, J. H. (2005). Generalizations of the Rayleigh Quotient Iteration for the Iterative Refinement of the Eigenvectors of Real Symmetric Matrices. International Conference on Acoustics, Speech and Signal Processing, Philadelphia, USA, 4 pages.
167. Varma, A. R., Manton, J. H., Athaudage, C. and Andrew, L. (2005). Iterative Algorithms for Channel Identification using Superimposed Pilots. Australian Communications Theory Workshop, Brisbane, Australia, 7 pages.
168. Manton, J. H. (2005). On the Role of Differential Geometry in Signal Processing. International Conference on Acoustics, Speech and Signal Processing, Philadelphia, USA, 4 pages.
169. Pham, D. H. and Manton, J. H. (2005). Orthogonal Superimposed Training on Linear Precoding: A New Affine Precoder Design. IEEE International Workshop on Signal Processing Advances in Wireless Communications, New York, USA, 5 pages.
170. Baumann, M., Helmke, U. and Manton, J. H. (2005). Reliable Tracking Algorithms for Principal and Minor Eigenvector Computations. IEEE Conference on Decision and Control, Seville, Spain, 6 pages.
171. Daly, M. J., Reilly, J. P. and Manton, J. H. (2004). A Bayesian Approach to Blind Source Recovery. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, 5 pages.
172. Daly, M. J., Reilly, J. P. and Manton, J. H. (2004). A Bayesian Approach to Blind Source Recovery. IMA Mathematics in Signal Processing, Royal Agricultural College, Cirencester, UK, 4 pages.
173. Manton, J. H. (2004). A Globally Convergent Numerical Algorithm for Computing the Centre of Mass on Compact Lie Groups. Eighth International Conference on Control, Automation, Robotics and Vision, Kunming, China, 6 pages.
174. Shahbazpanahi, S., Gershman, A. B. and Manton, J. H. (2004). A Linear Precoding Approach to Resolve Ambiguity of Blind Decoding of Orthogonal Space-Time Block Codes in Slowly Fading Channels. International Workshop on Signal Processing Advances in Wireless Communications, Lisbon, Portugal, 5 pages.
175. Manton, J. H. and Pham, D. (2004). A Low Complexity Semi-Blind Channel Identification and Source Recovery Method for Transmission Systems With Guard Intervals. IEEE International Conference on Acoustics, Speech and Signal Processing, Montreal, Canada, 4 pages.
176. Shahbazpanahi, S., Gershman, A. B. and Manton, J. H. (2004). A Relaxed Maximum Likelihood Approach to Blind Channel Estimation and Symbol Detection in MIMO Systems with Orthogonal Space-Time Block Codes. IEEE 59th Vehicular Technology Conference, Genoa, Italy, 5 pages.
177. Nikpour, M., Manton, J. H., Mareels, I. M. Y. and Adamyan, V. (2004). Algorithms for Extreme Eigenvalue Problems. Sixteenth International Symposium on Mathematical Theory of Networks and Systems, Katholieke Universiteit Leuven, Belgium, 5 pages.
178. Manton, J. H., Hua, Y. and Reilly, J. P. (2004). An Iterative Algorithm Converging to the Principal Subspace Projection Operator with Applications. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, 4 pages.
179. Pham, D. H. and Manton, J. H. (2004). An Optimal Pilot Embedding Scheme for Channel Identification and Source Recovery. IEEE International Symposium on Spread Spectrum Techniques and Applications, Sydney, Australia, 5 pages.
180. Pham, D. H. and Manton, J. H. (2004). Channel Identification Using Known Symbol Guard Intervals. IEEE International Symposium on Spread Spectrum Techniques and Applications, Sydney, Australia, 5 pages.
181. Shahbazpanahi, S., Gershman, A. B. and Manton, J. H. (2004). Closed-Form Blind Decoding of Orthogonal Space-Time Block Codes. IEEE International Conference on Acoustics, Speech and Signal Processing, Montreal, Canada, 4 pages.
182. Shahbazpanahi, S., Gershman, A. B. and Manton, J. H. (2004). Closed-Form Channel Estimation for Blind Decoding of Orthogonal Space-Time Block Codes. International Conference on Communications, Paris, France, 5 pages.
183. Brace, I. and Manton, J. H. (2004). Fisher Information Decision Directed Discrete Optimisation. IEEE International Conference on Acoustics, Speech and Signal Processing, Montreal, Canada, 4 pages.
184. Helmke, U. and Manton, J. H. (2004). On the Genericity of Algebraically Observable Polynomial Systems: The Discrete-Time Case. Sixteenth International Symposium on Mathematical Theory of Networks and Systems, Katholieke Universiteit Leuven, Belgium, 8 pages.
185. Manton, J. H. (2004). On the Various Generalisations of Optimisation Algorithms to Manifolds. Sixteenth International Symposium on Mathematical Theory of Networks and Systems, Katholieke Universiteit Leuven, Belgium, 6 pages.
186. Pham, D. H. and Manton, J. H. (2003). A Fast Algorithm for Single Block Finite Alphabet Based Channel Identification. Fourth International Conference on Information, Communications and Signal Processing, Singapore, 5 pages.
187. Pham, D. H. and Manton, J. H. (2003). A First Order Statistical Method for Guard Interval Based Channel Identification and Source Recovery. Fourth International Conference on Information, Communications and Signal Processing, Singapore, 5 pages.
188. Nikpour, M. and Manton, J. H. (2003). A Novel Approach to the Shifted QR Algorithm for the Hermitian Eigenvalue Problem. IEEE International Conference on Decision and Control, Maui, Hawaii, USA, 4 pages.
189. Pham, D. H. and Manton, J. H. (2003). A Subspace Algorithm for Guard Interval Based Channel Identification and Source Recovery Requiring Just Two Received Blocks. IEEE International Conference on Acoustics, Speech and Signal Processing, Hong Kong, 4 pages.
190. An, S., Hua, Y. and Manton, J. H. (2003). Blind Identification of FIR MIMO Channels By Group Decorrelation. IEEE International Conference on Acoustics, Speech and Signal Processing, Hong Kong, 4 pages.
191. Brace, I. and Manton, J. H. (2003). Blind Source Separation of Short Duration Finite Alphabet Signals. Fourth International Conference on Information, Communications and Signal Processing, Singapore, 4 pages.
192. An, S., Liu, W. and Manton, J. H. (2003). Convex Directions for Nested Hurwitz Polynomials. IEEE International Conference on Decision and Control, Maui, Hawaii, USA, 2 pages.
193. Hori, G. and Manton, J. H. (2003). Critical Point Analysis of Joint Diagonalization Criteria. International Conference on Independent Component Analysis, Nara, Japan, 6 pages.
194. Manton, J. H., Helmke, U. and Mareels, I. M. Y. (2003). Dynamical Systems for Principal and Minor Component Analysis. IEEE International Conference on Decision and Control, Maui, Hawaii, USA, 6 pages.
195. Andrew, L. L. H., Manton, J. H. and Pham, D. H. (2003). Fast Simulation of Linear Communication Systems via Conditional Monte Carlo Analysis. Fourth International Conference on Information, Communications and Signal Processing, Singapore, 4 pages.
196. Rahbar, K., Reilly, J. P. and Manton, J. H. (2002). A Frequency Domain Approach to Blind Identification of MIMO FIR Channels Driven by Non-stationary Sources. IEEE Sensor Array and Multichannel Signal Processing Workshop, Rosslyn, VA, USA, 5 pages.
197. Rahbar, K., Reilly, J. P. and Manton, J. H. (2002). A Frequency Domain Approach to Blind Identification of MIMO FIR Systems Driven by Quasi-Stationary Signals. IEEE International Conference on Acoustics, Speech and Signal Processing, Orlando, Florida, 4 pages.
198. Pham, D. H. and Manton, J. H. (2002). A Viterbi-Like Decoder for Linearly Precoded and M-Coded Communication Systems. IEEE International Conference on Acoustics, Speech and Signal Processing, Orlando, Florida, 4 pages.
199. Nikpour, M., Manton, J. H. and Hori, G. (2002). Algorithms on the Stiefel Manifold for Joint Diagonalisation. IEEE International Conference on Acoustics, Speech and Signal Processing, Orlando, Florida, 4 pages.
200. Manton, J. H., Mareels, I. M. Y. and Attallah, S. (2002). An Analysis of the Fast Subspace Tracking Algorithm NOja. IEEE International Conference on Acoustics, Speech and Signal Processing, Orlando, Florida, 4 pages.
201. Manton, J. H. (2002). Consistent Source Detection in Polynomial Systems Driven by Discrete Sources. The 4th Asian Control Conference, Singapore, 6 pages.
202. Manton, J. H. (2002). Minimally Redundant Maximally Robust Linear Precoders. Information, Decision and Control, Adelaide, Australia, 6 pages.
203. Nikpour, M., Manton, J. H. and Mahony, R. (2002). Novel Newton Algorithms for the Hermitian Eigenvalue Problem. Information, Decision and Control, Adelaide, Australia, 6 pages.
204. Manton, J. H. and Mahony, R. (2002). On the Computational Complexity of Non-Linear Projections and its Relevance to Signal Processing. Fifteenth International Symposium on Mathematical Theory of Networks and Systems, South Bend, Indiana, 4 pages.
205. Manton, J. H. (2002). On the Feasibility of Totally Blind Channel Identification in Communication Systems using Guard Intervals. International Symposium on Intelligent Signal Processing and Communication Systems, Taiwan, 5 pages.
206. Manton, J. H. (2002). On the Importance of Using a Cyclic Prefix or Null Guard in Block Transmissions over FIR Channels. Information, Decision and Control, Adelaide, Australia, 5 pages.
207. Pham, D. H. and Manton, J. H. (2002). Single Block Finite Alphabet Based Source Recovery and Channel Identification. Eighth IEEE International Conference on Communication Systems, Singapore, 5 pages.
208. Manton, J. H. (2002). Stochastic Construction of Optimal Linear Channel Precoders for Random Channels. Eighth IEEE International Conference on Communication Systems, Singapore, 5 pages.
209. Manton, J. H., Skafidas, E. and Evans, R. J. (2002). Strict Quadratic Stability of Logic-Differential Systems. The 4th Asian Control Conference, Singapore, 5 pages.
210. Manton, J. H. (2002). The Geometric Significance of Spectral Nulls. Information, Decision and Control, Adelaide, Australia, 5 pages.
211. Manton, J. H. (2001). A Channel Coded CP-OFDM Interpretation of TZ-OFDM Systems. Eleventh IEEE Workshop on Statistical Signal Processing, Singapore, 4 pages.
212. Manton, J. H. (2001). A Low Cost Channel Coding Scheme for Wireless Multimedia Communications. IEEE International Conference on Multimedia and Expo, Tokyo, Japan, 4 pages.
213. Manton, J. H. (2001). A New Algorithm for Computing the Extreme Eigenvectors of a Complex Hermitian Matrix. Eleventh IEEE Workshop on Statistical Signal Processing, Singapore, 4 pages.
214. Kok, C. W., Hua, Y. and Manton, J. H. (2001). A Nonuniform Filterbank Structure for Channel Pre-Equalization. IEEE International Symposium on Circuits and Systems, Sydney, Australia, 4 pages.
215. Manton, J. H. and Hua, Y. (2001). A Novel Algorithm for Computing Rank Reduced Matrix Approximations. IEEE Signal Processing Advances in Wireless Communications, Taiwan, 4 pages.
216. Manton, J. H. (2001). A Packet Based Channel Identification Algorithm for Wireless Multimedia Communications. IEEE International Conference on Multimedia and Expo, Tokyo, Japan, 4 pages.
217. Ali, H., Manton, J. H. and Hua, Y. (2001). A SOS Subspace Method for Blind Channel Identification and Equalization in Bandwidth Efficient OFDM Systems Based on Receive Antenna Diversity. Eleventh IEEE Workshop on Statistical Signal Processing, Singapore, 4 pages.
218. Manton, J. H. and Hua, Y. (2001). Convolutive Reduced Rank Wiener Filtering. IEEE International Conference on Acoustics, Speech and Signal Processing, Salt Lake City, Utah, 4 pages.
219. Manton, J. H. and Vo, B.-N. (2001). Fisher Information Decision Directed Quantisation: A Fast Sub-Optimal Solution to Discrete Optimisation Problems with Applications in Wireless Communications. International Conference on Optimisation Theory and Applications, Hong Kong, 8 pages.
220. Ali, H., Manton, J. H. and Hua, Y. (2001). Modified Channel Subspace Method for Identification of SIMO FIR Channels Driven by a Trailing Zero Filter Bank Precoder. IEEE International Conference on Acoustics, Speech and Signal Processing, Salt Lake City, Utah, 4 pages.
221. Manton, J. H. (2001). Modified Steepest Descent and Newton Algorithms for Orthogonally Constrained Optimisation, Part I: The Complex Stiefel Manifold. Sixth International Symposium on Signal Processing and Its Applications, Kuala-Lumpur, Malaysia, 4 pages.
222. Manton, J. H. (2001). Modified Steepest Descent and Newton Algorithms for Orthogonally Constrained Optimisation, Part II: The Complex Grassmann Manifold. Sixth International Symposium on Signal Processing and Its Applications, Kuala-Lumpur, Malaysia, 4 pages.
223. Manton, J. H. (2001). On Optimal Channel Identification by Use of Training Sequences and Pilot Tones. Sixth International Symposium on Signal Processing and Its Applications, Kuala-Lumpur, Malaysia, 4 pages.
224. Manton, J. H., Hua, Y. and Cao, X. (2001). Precoder Assisted Channel Estimation in Complex Projective Space. IEEE Signal Processing Advances in Wireless Communications, Taiwan, 4 pages.
225. Manton, J. H. and Abed-Meraim, K. (2001). Spectrally Balanced OFDM Precoders for Communications over Unknown Multipath Channels. Sixth International Symposium on Signal Processing and Its Applications, Kuala-Lumpur, Malaysia, 4 pages.
226. Nikpour, M., Ali, H., Manton, J. H. and Hua, Y. (2000). A Fast On-Line Algorithm for Computing Reduced-Rank Wiener Filters. IEEE Workshop on Neural Networks for Signal Processing, Sydney, Australia, 10 pages.
227. Manton, J. H. and Hua, Y. (2000). A Frequency Domain Approach to the Design of Linear Precoders for Quasi-Stationary Channels. Seventh IEEE International Conference on Communication Systems, Singapore, 4 pages.
228. Manton, J. H. and Hua, Y. (2000). A Multi-Dimensional Subspace Method for Identifying SISO-FIR and SISO-ARMA Channels without Statistical Information. Seventh IEEE International Conference on Communication Systems, Singapore, 4 pages.
229. Manton, J. H. and Hua, Y. (2000). A Randomised Algorithm for Improving Source and Channel Estimates by Exploiting the Finite Alphabet Property. 34th Asilomar Conference on Signals, Systems, and Computers, California, 4 pages.
230. Manton, J. H. and Hua, Y. (2000). A Time Domain Approach to the Design of Linear Precoders for Time-Varying Channels. Seventh IEEE International Conference on Communication Systems, Singapore, 4 pages.
231. Manton, J. H., Mareels, I. M. Y. and Hua, Y. (2000). Affine Precoders for Reliable Communications. IEEE International Conference on Acoustics, Speech and Signal Processing, Istanbul, Turkey, 4 pages.
232. Manton, J. H., Xie, L. and Hua, Y. (2000). An LMI Algorithm for Finding the Optimal H-Infinity Equaliser. Seventh IEEE International Conference on Communication Systems, Singapore, 7 pages.
233. Manton, J. H. and Hua, Y. (2000). Frequency Domain Space Time Coding for MIMO FIR Channels. 34th Asilomar Conference on Signals, Systems, and Computers, California, 4 pages.
234. Manton, J. H., Groves, J. R. J. and Hua, Y. (2000). On Properties of the Solutions of Systems of Polynomial Equations. Third Asian Control Conference, Shanghai, China, 6 pages.
235. Abed-Meraim, K., Xiang, Y., Manton, J. H. and Hua, Y. (1999). A New Approach to Blind Separation of Cyclostationary Sources. Second IEEE Workshop on Signal Processing Advances in Wireless Communications, Annapolis, MD, 4 pages.
236. Manton, J. H. and Hua, Y. (1999). Frequency Domain Subspace Algorithms for Channel Identification. Second International Conference on Information, Communications and Signal Processing, Singapore, 4 pages.
237. Manton, J. H. and Hua, Y. (1999). Maximum-Likelihood Algorithms for Deterministic and Semi-Blind Channel Identification. Second International Conference on Information, Communications and Signal Processing, Singapore, 5 pages.
238. Manton, J. H., Neumann, W. D., Norbury, P. T. and Hua, Y. (1999). On the Global Identifiability of Channel Identification Problems. Second International Conference on Information, Communications and Signal Processing, Singapore, 5 pages.
239. Manton, J. H., Hua, Y., Zheng, Y. and Zhang, C. (1998). Semi-Blind Identification of Finite Impulse Response Channels. IEEE International Conference on Acoustics, Speech and Signal Processing, Seattle, Washington, 4 pages.
240. Manton, J. H. and Hua, Y. (1998). Subspace Constrained James-Stein Estimation. Eighth IEEE Digital Signal Processing Workshop, Utah, 4 pages.
241. Manton, J. H., Krishnamurthy, V. and Poor, H. V. (1997). James-Stein State Space Filter. IEEE International Conference on Decision and Control, San Diego, California, 6 pages.
242. Elliott, R. J., Krishnamurthy, V. and Manton, J. H. (1997). Optimal Estimation of Poisson Rate from Discrete Time Observations. IEEE International Conference on Communications, Montreal, Quebec, Canada, 4 pages.

Patents

243. Manton, J. H., McLean, C. and Scoullar, P. (2018). Method and Apparatus for Identifying Pulses in Detector Output Data. US Patent Office.