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ORCIDJonathan H. Manton
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- affiliation: University of Melbourne, Department of Electrical and Electronic Engineering, Australia
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2020 – today
- 2024
[j70]Xuetong Wu
, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
On the Generalization for Transfer Learning: An Information-Theoretic Analysis. IEEE Trans. Inf. Theory 70(10): 7089-7124 (2024)- [c86]Behnam Mafakheri, Jonathan H. Manton, Iman Shames:
First Order Online Optimisation Using Forward Gradients in Over-Parameterised Systems. ECC 2024: 2119-2124 - [c85]Victor R. J. Deville, Jamie S. Evans, Jonathan H. Manton:
Estimating Vehicle Length Using FMCW Radar: A Micro-Doppler Signature Analysis Approach. EUSIPCO 2024: 2372-2376 - [c84]Victor R. J. Deville, C. M. Lievers, Jonathan H. Manton:
Enhanced Axle-Based Vehicle Classification Using Angle-Based Micro-Doppler Signature. ICASSP 2024: 126-130 - [c83]Behnam Mafakheri, Jonathan H. Manton, Iman Shames:
A Decentralised Asynchronous Optimisation Algorithm with an Application to Phase Retrieval. SAM 2024: 1-5 - 2023
- [j69]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
A Bayesian approach to (online) transfer learning: Theory and algorithms. Artif. Intell. 324: 103991 (2023) - [j68]Behnam Mafakheri, Jonathan H. Manton, Iman Shames:
On Distributed Nonconvex Optimisation via Modified ADMM. IEEE Control. Syst. Lett. 7: 3699-3704 (2023) - [j67]Lei Liu, Yiyao Cheng, Shansuo Liang, Jonathan H. Manton, Li Ping:
On OAMP: Impact of the Orthogonal Principle. IEEE Trans. Commun. 71(5): 2992-3007 (2023) - [j66]Yiyao Cheng, Lei Liu, Shansuo Liang, Jonathan H. Manton, Li Ping:
Orthogonal AMP for Problems With Multiple Measurement Vectors and/or Multiple Transforms. IEEE Trans. Signal Process. 71: 4423-4440 (2023) - [c82]Yiyao Cheng, Lei Liu, Shansuo Liang, Jonathan H. Manton, Li Ping:
Orthogonal AMP for Problems with Multiple Measurement Vectors and/or Multiple Transforms. ISTC 2023: 1-5 - [i15]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
On the tightness of information-theoretic bounds on generalization error of learning algorithms. CoRR abs/2303.14658 (2023) - [i14]Yiyao Cheng, Lei Liu, Shansuo Liang, Jonathan H. Manton, Li Ping:
Orthogonal AMP for Problems with Multiple Measurement Vectors and/or Multiple Transforms. CoRR abs/2304.08038 (2023) - 2022
- [j65]Rudrasis Chakraborty, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri:
ManifoldNet: A Deep Neural Network for Manifold-Valued Data With Applications. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 799-810 (2022) - [j64]Alejandro I. Maass, Chris Manzie, Dragan Nesic, Jonathan H. Manton, Iman Shames:
Tracking and Regret Bounds for Online Zeroth-Order Euclidean and Riemannian Optimization. SIAM J. Optim. 32(2): 445-469 (2022) - [c81]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Fast Rate Generalization Error Bounds: Variations on a Theme. ITW 2022: 43-48 - [c80]Zhaopeng Xu, Shuangyu Dong, Honglin Ji, Jonathan H. Manton, William Shieh:
Computationally-Efficient Sparsely-Connected Multi-Output Neural Networks for IM/DD System Equalization. OFC 2022: 1-3 - [i13]Lei Liu, Yiyao Cheng, Shansuo Liang, Jonathan H. Manton, Li Ping:
On Orthogonal Approximate Message Passing. CoRR abs/2203.00224 (2022) - [i12]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Fast Rate Generalization Error Bounds: Variations on a Theme. CoRR abs/2205.03131 (2022) - [i11]Xuetong Wu, Mingming Gong, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis. CoRR abs/2205.04641 (2022) - [i10]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
An Information-Theoretic Analysis for Transfer Learning: Error Bounds and Applications. CoRR abs/2207.05377 (2022) - 2021
- [c79]Salem Said, Nicolas Le Bihan, Jonathan H. Manton:
From Bayesian Inference to MCMC and Convex Optimisation in Hadamard Manifolds. GSI 2021: 3-11 - [c78]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge. ISIT 2021: 1540-1545 - [c77]Zhaopeng Xu, Chuanbowen Sun, Shuangyu Dong, Jonathan H. Manton, William Shieh:
Towards Low Computational Complexity for Neural Network-Based Equalization in PAM4 Short-Reach Direct Detection Systems by Multi-Symbol Prediction. OFC 2021: 1-3 - [i9]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge. CoRR abs/2105.01445 (2021) - [i8]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms. CoRR abs/2109.01377 (2021) - 2020
- [j63]Iman Shames, Daniel Selvaratnam, Jonathan H. Manton:
Online Optimization Using Zeroth Order Oracles. IEEE Control. Syst. Lett. 4(1): 31-36 (2020) - [j62]Jonathan H. Manton:
Geometry, Manifolds, and Nonconvex Optimization: How Geometry Can Help Optimization. IEEE Signal Process. Mag. 37(5): 109-119 (2020) - [j61]Christopher McLean, Michael Pauley, Jonathan H. Manton:
Non-Parametric Decompounding of Pulse Pile-Up Under Gaussian Noise With Finite Data Sets. IEEE Trans. Signal Process. 68: 2114-2127 (2020) - [c76]Jeanne Lefevre, Jonathan H. Manton, Nicolas Le Bihan:
An optimisation geometry framework for the Rayleigh quotient. EUSIPCO 2020: 955-959 - [c75]Pavel Tolmachev, Jonathan H. Manton:
New Insights on Learning Rules for Hopfield Networks: Memory and Objective Function Minimisation. IJCNN 2020: 1-8 - [c74]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Information-theoretic analysis for transfer learning. ISIT 2020: 2819-2824 - [i7]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Information-theoretic analysis for transfer learning. CoRR abs/2005.08697 (2020) - [i6]Pavel Tolmachev, Jonathan H. Manton:
New Insights on Learning Rules for Hopfield Networks: Memory and Objective Function Minimisation. CoRR abs/2010.01472 (2020)
2010 – 2019
- 2019
- [c73]Salem Said, Jonathan H. Manton:
The Riemannian Barycentre as a Proxy for Global Optimisation. GSI 2019: 657-664 - [c72]Rudrasis Chakraborty, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri:
A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging. IPMI 2019: 112-124 - 2018
- [j60]Guang Deng, Jonathan H. Manton, Song Wang:
Fast Kernel Smoothing by a Low-Rank Approximation of the Kernel Toeplitz Matrix. J. Math. Imaging Vis. 60(8): 1181-1195 (2018) - [j59]Michael Pauley, Jonathan H. Manton:
The Existence Question for Maximum-Likelihood Estimators in Time-of-Arrival-Based Localization. IEEE Signal Process. Lett. 25(9): 1354-1358 (2018) - [c71]Daniel D. Selvaratnam, Iman Shames, Jonathan H. Manton, Mohammad Zamani:
Numerical Optimisation of Time-Varying Strongly Convex Functions Subject to Time-Varying Constraints. CDC 2018: 849-854 - [c70]Pavel Tolmachev, Rishi R. Dhingra, Michael Pauley, Mathias Dutschmann, Jonathan H. Manton:
Modeling the Respiratory Central Pattern Generator with Resonate-and-Fire Izhikevich-Neurons. ICONIP (1) 2018: 603-615 - [c69]Xi Li, Pavel Tolmachev, Michael Pauley, Jonathan H. Manton:
A Distributed Transmission Scheduling Algorithm for Wireless Networks Based on the Ising Model. SSP 2018: 6-10 - [c68]Christopher McLean, Michael Pauley, Jonathan H. Manton:
Limitations of Decision Based Pile-Up Correction Algorithms. SSP 2018: 693-697 - [c67]Michael Pauley, Jonathan H. Manton:
Global Optimisation for Time of Arrival-Based Localisation. SSP 2018: 791-795 - [i5]Rudrasis Chakraborty, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri:
ManifoldNet: A Deep Network Framework for Manifold-valued Data. CoRR abs/1809.06211 (2018) - 2017
- [j58]Shabnam Khatibi, Hong-Jian Zhu, John Wagner, Chin Wee Tan, Jonathan H. Manton, Antony W. Burgess:
Mathematical model of TGF-βsignalling: feedback coupling is consistent with signal switching. BMC Syst. Biol. 11(1): 48:1-48:15 (2017) - [j57]Levin Kuhlmann, Jonathan H. Manton, Bjorn Heyse, Hugo E. M. Vereecke, Tarmo Lipping, Michel M. R. F. Struys, David T. J. Liley:
Tracking Electroencephalographic Changes Using Distributions of Linear Models: Application to Propofol-Based Depth of Anesthesia Monitoring. IEEE Trans. Biomed. Eng. 64(4): 870-881 (2017) - [j56]Salem Said, Lionel Bombrun, Yannick Berthoumieu, Jonathan H. Manton:
Riemannian Gaussian Distributions on the Space of Symmetric Positive Definite Matrices. IEEE Trans. Inf. Theory 63(4): 2153-2170 (2017) - [c66]Michael Pauley, Jonathan H. Manton:
Optimisation geometry and its implications for optimisation algorithms. CAMSAP 2017: 1-5 - [c65]Daniel D. Selvaratnam, Iman Shames, Dimos V. Dimarogonas, Jonathan H. Manton, Branko Ristic:
Co-operative estimation for source localisation using binary sensors. CDC 2017: 1572-1577 - [c64]Christopher McLean, Michael Pauley, Jonathan H. Manton:
Performance metrics for energy spectrum estimation. GlobalSIP 2017: 308-312 - [c63]Florent Chatelain, Nicolas Le Bihan, Jonathan H. Manton:
Density Estimation for Compound Cox Processes on Hyperspheres. GSI 2017: 684-691 - [c62]Salem Said, Nicolas Le Bihan, Jonathan H. Manton:
Riemannian Gaussian Distributions on the Space of Positive-Definite Quaternion Matrices. GSI 2017: 709-716 - [c61]Michael Pauley, Christopher McLean, Jonathan H. Manton:
Numerical filtering of linear state-space models with Markov switching. ICASSP 2017: 4172-4176 - [c60]Jonathan H. Manton, Nicolas Le Bihan:
On some global topological aspects of manifold learning. ICIP 2017: 225-229 - 2016
- [j55]Levin Kuhlmann, Dean R. Freestone, Jonathan H. Manton, Bjorn Heyse, Hugo E. M. Vereecke, Tarmo Lipping, Michel M. R. F. Struys, David T. J. Liley:
Neural mass model-based tracking of anesthetic brain states. NeuroImage 133: 438-456 (2016) - [j54]Jérémie Boulanger, Salem Said, Nicolas Le Bihan, Jonathan H. Manton:
Filtering from observations on Stiefel manifolds. Signal Process. 122: 52-64 (2016) - [j53]Nicolas Le Bihan, Florent Chatelain, Jonathan H. Manton:
Isotropic Multiple Scattering Processes on Hyperspheres. IEEE Trans. Inf. Theory 62(10): 5740-5752 (2016) - [j52]Cong Cao, Zengfu Wang, Moshe Zukerman, Jonathan H. Manton, Alain Bensoussan, Yu Wang:
Optimal Cable Laying Across an Earthquake Fault Line Considering Elliptical Failures. IEEE Trans. Reliab. 65(3): 1536-1550 (2016) - [c59]Roghieh Skandari, Yuichi Iino, Jonathan H. Manton:
On an analogue signal processing circuit in the Nematode C. elegans. EMBC 2016: 965-968 - [c58]Julien Flamand, Nicolas Le Bihan, Andrew V. Martin, Jonathan H. Manton:
Low-resolution reconstruction of intensity functions on the sphere for single-particle diffraction imaging. ICASSP 2016: 664-668 - 2015
- [j51]Jonathan H. Manton, Pierre-Olivier Amblard:
A Primer on Reproducing Kernel Hilbert Spaces. Found. Trends Signal Process. 8(1-2): 1-126 (2015) - [j50]Jonathan H. Manton:
A framework for generalising the Newton method and other iterative methods from Euclidean space to manifolds. Numerische Mathematik 129(1): 91-125 (2015) - [c57]Roghieh Skandari, Nicolas Le Bihan, Jonathan H. Manton:
C. elegans locomotion analysis using algorithmic information theory. EMBC 2015: 6485-6488 - [c56]Florent Chatelain, Nicolas Le Bihan, Jonathan H. Manton:
Parameter estimation for multiple scattering process on the sphere. ICASSP 2015: 3976-3980 - [c55]Salem Said, Jonathan H. Manton:
Particle filtering with observations in a manifold. ICASSP 2015: 5763-5767 - [c54]Rosita Shishegar, Jonathan H. Manton, David W. Walker, Joanne M. Britto, Leigh A. Johnston:
Quantifying gyrification using Laplace Beltrami eigenfunction level-sets. ISBI 2015: 1272-1275 - 2014
- [j49]Levin Kuhlmann, Michael Hauser-Raspe, Jonathan H. Manton, David B. Grayden, Jonathan Tapson, André van Schaik:
Approximate, Computationally Efficient Online Learning in Bayesian Spiking Neurons. Neural Comput. 26(3): 472-496 (2014) - [j48]Qian Gao, Jonathan H. Manton, Gang Chen, Yingbo Hua:
Constellation Design for a Multicarrier Optical Wireless Communication Channel. IEEE Trans. Commun. 62(1): 214-225 (2014) - [c53]Jérémie Boulanger, Nicolas Le Bihan, Salem Said, Jonathan H. Manton:
Monte-carlo estimation from observation on stiefel manifold. ICASSP 2014: 4195-4199 - [i4]Nicolas Le Bihan, Florent Chatelain, Jonathan H. Manton:
Isotropic Multiple Scattering Processes on Hyperspheres. CoRR abs/1408.2887 (2014) - [i3]Jérémie Boulanger, Salem Said, Nicolas Le Bihan, Jonathan H. Manton:
Filtering from Observations on Stiefel Manifolds. CoRR abs/1409.7442 (2014) - 2013
- [j47]Jonathan H. Manton, David Applebaum, Shiro Ikeda, Nicolas Le Bihan:
Introduction to the issue on differential geometry in signal processing. IEEE J. Sel. Top. Signal Process. 7(4): 573-575 (2013) - [j46]Jonathan H. Manton:
A Primer on Stochastic Differential Geometry for Signal Processing. IEEE J. Sel. Top. Signal Process. 7(4): 681-699 (2013) - [j45]Salem Said, Jonathan H. Manton:
On Filtering with Observation in a Manifold: Reduction to a Classical Filtering Problem. SIAM J. Control. Optim. 51(1): 767-783 (2013) - [j44]Salem Said, Pierre-Olivier Amblard, Jonathan H. Manton:
Stationary Random Fields Arising From Second-Order Partial Differential Equations on Compact Lie Groups. IEEE Trans. Inf. Theory 59(6): 3497-3513 (2013) - [j43]Juan Lu, Ed Kazmierczak, Jonathan H. Manton, Rodney Sinclair:
Automatic Segmentation of Scaling in 2-D Psoriasis Skin Images. IEEE Trans. Medical Imaging 32(4): 719-730 (2013) - [c52]Sei Zhen Khong, Michael Cantoni, Jonathan H. Manton:
A gap metric perspective of well-posedness for nonlinear feedback interconnections. AuCC 2013: 224-229 - [c51]Minyi Huang, Jonathan H. Manton:
Opinion dynamics with noisy information. CDC 2013: 3445-3450 - [c50]Juan Lu, Ed Kazmierczak, Jonathan H. Manton, Rodney Sinclair:
A quantitative technique for assessing the change in severity over time in psoriatic lesions using computer aided image analysis. EMBC 2013: 2380-2383 - [c49]Pierre-Olivier Amblard, Jonathan H. Manton:
On data sparsification and a recursive algorithm for estimating a kernel-based measure of independence. ICASSP 2013: 6446-6450 - [c48]Qian Gao, Jonathan H. Manton, Gang Chen, Yingbo Hua:
Power-Efficient Constellation Design for a Multicarrier Optical Wireless System. MILCOM 2013: 1645-1650 - 2012
- [j42]Salem Said, Jonathan H. Manton:
Extrinsic Mean of Brownian Distributions on Compact Lie Groups. IEEE Trans. Inf. Theory 58(6): 3521-3535 (2012) - [c47]Juan Lu, Ed Kazmierczak, Jonathan H. Manton, Rodney Sinclair:
Automatic Scoring of Erythema and Scaling Severity in Psoriasis Diagnosis. Australasian Conference on Artificial Intelligence 2012: 73-84 - [c46]Levin Kuhlmann, Michael Hauser-Raspe, Jonathan H. Manton, David B. Grayden, Jonathan Tapson, André van Schaik:
Online learning in Bayesian Spiking Neurons. IJCNN 2012: 1-6 - [c45]Jérémie Boulanger, Nicolas Le Bihan, Jonathan H. Manton:
Wiener filtering of rotation processes using ordered exponential. SSP 2012: 61-64 - 2011
- [j41]Mark D. McDonnell, Shiro Ikeda, Jonathan H. Manton:
An introductory review of information theory in the context of computational neuroscience. Biol. Cybern. 105(1): 55-70 (2011) - [j40]Lin Li, Anna Scaglione, Jonathan H. Manton:
Distributed Principal Subspace Estimation in Wireless Sensor Networks. IEEE J. Sel. Top. Signal Process. 5(4): 725-738 (2011) - [c44]Mohammad Rezaeian, Jonathan H. Manton, Bill Moran:
Tracking Markov targets in binary sensor networks: Source coding and large deviation limits on the required number of queries. ICICS 2011: 1-6 - [i2]Mark D. McDonnell, Shiro Ikeda, Jonathan H. Manton:
An Introductory Review of Information Theory in the Context of Computational Neuroscience. CoRR abs/1107.2984 (2011) - 2010
- [j39]Minyi Huang, Subhrakanti Dey, Girish N. Nair, Jonathan H. Manton:
Stochastic consensus over noisy networks with Markovian and arbitrary switches. Autom. 46(10): 1571-1583 (2010) - [j38]Xueyuan Su, Sammy Chan, Jonathan H. Manton:
Bandwidth allocation in wireless ad hoc networks: Challenges and prospects. IEEE Commun. Mag. 48(1): 80-85 (2010) - [j37]Minyi Huang, Jonathan H. Manton:
Stochastic Consensus Seeking With Noisy and Directed Inter-Agent Communication: Fixed and Randomly Varying Topologies. IEEE Trans. Autom. Control. 55(1): 235-241 (2010) - [j36]Salem Said, Christian Lageman, Nicolas Le Bihan, Jonathan H. Manton:
Decompounding on compact lie groups. IEEE Trans. Inf. Theory 56(6): 2766-2777 (2010) - [c43]Lin Li, Xiao Li, Anna Scaglione, Jonathan H. Manton:
Decentralized Subspace Tracking via Gossiping. DCOSS 2010: 130-143 - [c42]Juan Lu, Jonathan H. Manton, Ed Kazmierczak, Rodney Sinclair:
Erythema detection in digital skin images. ICIP 2010: 2545-2548
2000 – 2009
- 2009
- [j35]Shiro Ikeda, Jonathan H. Manton:
Capacity of a Single Spiking Neuron Channel. Neural Comput. 21(6): 1714-1748 (2009) - [j34]Minyi Huang, Jonathan H. Manton:
Coordination and Consensus of Networked Agents with Noisy Measurements: Stochastic Algorithms and Asymptotic Behavior. SIAM J. Control. Optim. 48(1): 134-161 (2009) - [j33]Song Wang, Jonathan H. Manton:
Blind Channel Estimation for Non-CP OFDM Systems Using Multiple Receive Antennas. IEEE Signal Process. Lett. 16(4): 299-302 (2009) - [j32]Song Wang, Jonathan H. Manton:
A Cross-Relation-Based Frequency-Domain Method for Blind SIMO-OFDM Channel Estimation. IEEE Signal Process. Lett. 16(10): 865-868 (2009) - [j31]Anatoli Torokhti, Jonathan H. Manton:
Generic weighted filtering of stochastic signals. IEEE Trans. Signal Process. 57(12): 4675-4685 (2009) - [c41]Weiwei Wu, William Moran, Jonathan H. Manton, Moshe Zukerman:
Topology Design of Undersea Cables Considering Survivability Under Major Disasters. AINA Workshops 2009: 1154-1159 - [c40]Salem Said, Nicolas Le Bihan, Christian Lageman, Jonathan H. Manton:
Nonparametric estimation for compound poisson processes on compact Lie groups. ICASSP 2009: 3409-3412 - [c39]Shiro Ikeda, Jonathan H. Manton:
Spiking neuron channel. ISIT 2009: 1589-1593 - [i1]Salem Said, Christian Lageman, Nicolas Le Bihan, Jonathan H. Manton:
Decompounding on compact Lie groups. CoRR abs/0907.2601 (2009) - 2008
- [j30]Song Wang, Jonathan H. Manton:
Blind SIMO channel identification using FFT/IFFT. Signal Process. 88(12): 3007-3010 (2008) - [j29]Haitong Sun, Zhihua Shi, Chunming Zhao, Jonathan H. Manton, Zhi Ding:
Progressive Linear Precoder Optimization for MIMO Packet Retransmissions Exploiting Channel Covariance Information. IEEE Trans. Commun. 56(5): 818-827 (2008) - [c38]Minyi Huang, Jonathan H. Manton:
Stochastic consensus seeking with measurement noise: Convergence and asymptotic normality. ACC 2008: 1337-1342 - 2007
- [j28]Song Wang, Jonathan H. Manton, David B. H. Tay, Cishen Zhang, John C. Devlin:
An FFT-Based Method for Blind Identification of FIR SIMO Channels. IEEE Signal Process. Lett. 14(7): 437-440 (2007) - [j27]Amin Zia, James P. Reilly, Jonathan H. Manton, Shahram Shirani:
An Information Geometric Approach to ML Estimation With Incomplete Data: Application to Semiblind MIMO Channel Identification. IEEE Trans. Signal Process. 55(8): 3975-3986 (2007) - [c37]Huibo Ji, Minyi Huang, John B. Moore, Jonathan H. Manton:
A Globally Convergent Conjugate Gradient Method for Minimizing Self-Concordant Functions with Application to Constrained Optimisation Problems. ACC 2007: 540-545 - [c36]Minyi Huang, Jonathan H. Manton:
Stochastic Double Array Analysis and Convergence of Consensus Algorithms with Noisy Measurements. ACC 2007: 705-710 - [c35]Minyi Huang, Jonathan H. Manton:
Stochastic Lyapunov Analysis for Consensus Algorithms with Noisy Measurements. ACC 2007: 1419-1424 - [c34]Minyi Huang, Jonathan H. Manton:
Stochastic approximation for consensus seeking: Mean square and almost sure convergence. CDC 2007: 306-311 - [c33]Pierre-Antoine Absil, Christian Lageman, Jonathan H. Manton:
Design of continuous-time flows on intertwined orbit spaces. CDC 2007: 6244-6249 - 2006
- [j26]Jonathan H. Manton:
A centroid (Karcher mean) approach to the joint approximate diagonalisation problem: The real symmetric case. Digit. Signal Process. 16(5): 468-478 (2006) - [j25]Haitong Sun, Jonathan H. Manton, Zhi Ding:
Progressive linear precoder optimization for MIMO packet retransmissions. IEEE J. Sel. Areas Commun. 24(3): 448-456 (2006) - [j24]Samir Attallah, Jonathan H. Manton, Karim Abed-Meraim:
Convergence analysis of the NOJA algorithm using the ODE approach. Signal Process. 86(11): 3490-3495 (2006) - [c32]Song Wang, Jonathan H. Manton:
A Low Complexity Frequency-domain Approach to SIMO System Identification. ICARCV 2006: 1-4 - [c31]João M. F. Xavier, Jonathan H. Manton:
On the Generalization of AR Processes To Riemannian Manifolds. ICASSP (5) 2006: 1005-1008 - 2005
- [j23]Jonathan H. Manton, Walter D. Neumann, Paul T. Norbury:
On the algebraic identifiability of finite impulse response channels driven by linearly precoded signals. Syst. Control. Lett. 54(2): 125-134 (2005) - [j22]Jonathan H. Manton, Uwe Helmke, Iven M. Y. Mareels:
A dual purpose principal and minor component flow. Syst. Control. Lett. 54(8): 759-769 (2005) - [j21]Senjian An, Jonathan H. Manton, Yingbo Hua:
A sequential subspace method for blind identification of general FIR MIMO channels. IEEE Trans. Signal Process. 53(10): 3906-3910 (2005) - [j20]Senjian An, Yingbo Hua, Jonathan H. Manton, Zheng Fang:
Group decorrelation enhanced subspace method for identifying FIR MIMO channels driven by unknown uncorrelated colored sources. IEEE Trans. Signal Process. 53(12): 4429-4441 (2005) - [j19]Shahram Shahbazpanahi, Alex B. Gershman, Jonathan H. Manton:
Closed-form blind MIMO channel estimation for orthogonal space-time block codes. IEEE Trans. Signal Process. 53(12): 4506-4517 (2005) - [c30]Markus Baumann, Uwe Helmke, Jonathan H. Manton:
Reliable Tracking Algorithms for Principal and Minor Eigenvector Computations. CDC/ECC 2005: 7258-7263 - [c29]Haitong Sun, Harvind Samra, Zhi Ding, Jonathan H. Manton:
Constrained capacity of linear precoded ARQ in MIMO wireless systems. ICASSP (3) 2005: 425-428 - [c28]Jonathan H. Manton:
On the role of differential geometry in signal processing. ICASSP (5) 2005: 1021-1024 - [c27]Maziar Nikpour, Knut Hüper, Jonathan H. Manton:
Generalizations of the Rayleigh quotient iteration for the iterative refinement of the eigenvectors of real symmetric matrices. ICASSP (5) 2005: 1041-1044 - 2004
- [j18]Kamran Rahbar, James P. Reilly, Jonathan H. Manton:
Blind identification of MIMO FIR systems driven by quasistationary sources using second-order statistics: a frequency domain approach. IEEE Trans. Signal Process. 52(2): 406-417 (2004) - [c26]Jonathan H. Manton:
A globally convergent numerical algorithm for computing the centre of mass on compact Lie groups. ICARCV 2004: 2211-2216 - [c25]Shahram Shahbazpanahi, Alex B. Gershman, Jonathan H. Manton:
Closed-form blind decoding of orthogonal space-time block codes. ICASSP (4) 2004: 473-476 - [c24]Jonathan H. Manton, Duong H. Pham:
A low complexity semi-blind channel identification and source recovery method for transmission systems with guard intervals. ICASSP (4) 2004: 885-888 - [c23]Ian Brace, Jonathan H. Manton:
Fisher information decision directed discrete optimisation. ICASSP (2) 2004: 1033-1036 - [c22]Shahram Shahbazpanahi, Alex B. Gershman, Jonathan H. Manton:
Closed-form channel estimation for blind decoding of orthogonal space-time block codes. ICC 2004: 603-607 - 2003
- [j17]Jonathan H. Manton, Walter D. Neumann:
Totally blind channel identification by exploiting guard intervals. Syst. Control. Lett. 48(2): 113-119 (2003) - [j16]Jonathan H. Manton:
Design and analysis of linear precoders under a mean square error criterion, Part I: foundations and worst case designs. Syst. Control. Lett. 49(2): 121-130 (2003) - [j15]Jonathan H. Manton:
Design and analysis of linear precoders under a mean square error criterion, Part II: MMSE designs and conclusions. Syst. Control. Lett. 49(2): 131-140 (2003) - [j14]Jonathan H. Manton, Robert E. Mahony, Yingbo Hua:
The geometry of weighted low-rank approximations. IEEE Trans. Signal Process. 51(2): 500-514 (2003) - [c21]Jonathan H. Manton, Uwe Helmke, Iven M. Y. Mareels:
Dynamical systems for principal and minor component analysis. CDC 2003: 1863-1868 - [c20]Maziar Nikpour, Jonathan H. Manton, Iven M. Y. Mareels:
A novel approach to the shifted QR algorithm for the Hermitian eigenvalue problem. CDC 2003: 2364-2367 - [c19]Senjian An, Wanquan Liu, Jonathan H. Manton:
Convex directions for nested Hurwitz polynomials. CDC 2003: 6460-6461 - [c18]Senjian An, Yingbo Hua, Jonathan H. Manton:
Blind identification of FIR MIMO channels by group decorrelation. ICASSP (5) 2003: 113-116 - [c17]Duong H. Pham, Jonathan H. Manton:
A subspace algorithm for guard interval based channel identification and source recovery requiring just two received blocks. ICASSP (4) 2003: 317-320 - 2002
- [j13]Robert E. Mahony, Jonathan H. Manton:
The Geometry of the Newton Method on Non-Compact Lie Groups. J. Glob. Optim. 23(3-4): 309-327 (2002) - [j12]Jonathan H. Manton:
Finite alphabet source recovery in polynomial systems. Syst. Control. Lett. 47(4): 279-286 (2002) - [j11]Jonathan H. Manton:
An OFDM interpretation of zero padded block transmissions. Syst. Control. Lett. 47(5): 393-399 (2002) - [j10]Jonathan H. Manton:
An improved least squares blind channel identification algorithm for linearly and affinely precoded communication systems. IEEE Signal Process. Lett. 9(9): 282-285 (2002) - [j9]Jonathan H. Manton:
The convex geometry of subchannel attenuation coefficients in linearly precoded OFDM Systems. IEEE Trans. Inf. Theory 48(5): 1203-1206 (2002) - [j8]Jonathan H. Manton:
Optimization algorithms exploiting unitary constraints. IEEE Trans. Signal Process. 50(3): 635-650 (2002) - [c16]Jonathan H. Manton, Iven M. Y. Mareels, Samir Attallah:
An analysis of the fast subspace tracking algorithm NOja. ICASSP 2002: 1101-1104 - [c15]Maziar Nikpour, Jonathan H. Manton, Gen Hori:
Algorithms on the Stiefel manifold for joint diagonalisation. ICASSP 2002: 1481-1484 - [c14]Kamran Rahbar, James P. Reilly, Jonathan H. Manton:
A frequency domain approach to blind identification of MIMO FIR systems driven by quasi-stationary signals. ICASSP 2002: 1717-1720 - [c13]Duong H. Pham, Jonathan H. Manton:
A Viterbi-like decoder for linearly precoded and m-coded communication systems. ICASSP 2002: 2257-2260 - 2001
- [j7]Jonathan H. Manton, Yingbo Hua:
Robust frequency-domain precoders. IEEE Commun. Lett. 5(2): 40-42 (2001) - [j6]Jonathan H. Manton:
Optimal training sequences and pilot tones for OFDM systems. IEEE Commun. Lett. 5(4): 151-153 (2001) - [j5]Jonathan H. Manton:
Dissecting OFDM: the independent roles of the cyclic prefix and the IDFT operation. IEEE Commun. Lett. 5(12): 474-476 (2001) - [j4]Karim Abed-Meraim, Yong Xiang, Jonathan H. Manton, Yingbo Hua:
Blind source-separation using second-order cyclostationary statistics. IEEE Trans. Signal Process. 49(4): 694-701 (2001) - [c12]Hassan Ali, Jonathan H. Manton, Yingbo Hua:
Modified channel subspace method for identification of SIMO FIR channels driven by a trailing zero filter bank precoder. ICASSP 2001: 2053-2056 - [c11]Jonathan H. Manton, Yingbo Hua:
Convolutive reduced rank Wiener filtering. ICASSP 2001: 4001-4004 - [c10]Jonathan H. Manton:
A Packet Based Channel Identification Algorithm For Wireless Multimedia Communications. ICME 2001 - [c9]Jonathan H. Manton:
A Low Cost Channel Coding Scheme For Wireless Multimedia Communications. ICME 2001 - [c8]Chi-Wah Kok, Yingbo Hua, Jonathan H. Manton:
A nonuniform filterbank structure for channel precoding. ISCAS (2) 2001: 541-544 - [c7]Jonathan H. Manton:
Modified steepest descent and Newton algorithms for orthogonally constrained optimisation. Part I. The complex Stiefel manifold. ISSPA 2001: 80-83 - [c6]Jonathan H. Manton:
Modified steepest descent and Newton algorithms for orthogonally constrained optimisation. Part II. The complex Grassmann manifold. ISSPA 2001: 84-87 - [c5]Jonathan H. Manton, Karim Abed-Meraim:
Spectrally balanced OFDM precoders for communications over unknown multipath channels. ISSPA 2001: 595-598 - [c4]Jonathan H. Manton:
On optimal channel identification by use of training sequences and pilot tones. ISSPA 2001: 599-602 - 2000
- [c3]Jonathan H. Manton, Iven M. Y. Mareels, Yingbo Hua:
Affine precoders for reliable communications. ICASSP 2000: 2749-2752
1990 – 1999
- 1999
- [j3]Jonathan H. Manton, Yingbo Hua:
A frequency domain deterministic approach to channel identification. IEEE Signal Process. Lett. 6(12): 323-326 (1999) - [j2]Jonathan H. Manton, Yingbo Hua:
Rank reduction and James-Stein estimation. IEEE Trans. Signal Process. 47(11): 3121-3125 (1999) - 1998
- [j1]Jonathan H. Manton, Vikram Krishnamurthy, H. Vincent Poor:
James-Stein state filtering algorithms. IEEE Trans. Signal Process. 46(9): 2431-2447 (1998) - [c2]Jonathan H. Manton, Yingbo Hua, Yufan Zheng, Cishen Zhang:
Semi-blind identification of finite impulse response channels. ICASSP 1998: 2369-2372 - 1997
- [c1]Robert J. Elliott, Vikram Krishnamurthy, Jonathan H. Manton:
Optimal Estimation of Poisson Rate from Discrete Time Observations. ICC (3) 1997: 1392-1395
Coauthor Index
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