Jonathan H. Manton

178 papers A 2B 9C 7Misc 17Journal 91Unranked 52
YearRankTypeTitle / Venue / Authors
2026 J jnl
Online Prediction of Stochastic Sequences with High Probability Regret Bounds.
CoRR
Matthias Frey, Jonathan H. Manton, Jingge Zhu
2025 J jnl
An Asynchronous Decentralised Optimisation Algorithm for Nonconvex Problems.
CoRR
Behnam Mafakheri, Jonathan H. Manton, Iman Shames
2025 J jnl
Emergence of Computational Structure in a Neural Network Physics Simulator.
CoRR
Rohan Hitchcock, Gary W. Delaney, Jonathan H. Manton, Richard Scalzo, Jingge Zhu
2025 Misc conf
Error Bounds Revisited, and How to Use Bayesian Statistics While Remaining a Frequentist.
ICASSP
Ning Xu, Christopher M. Foster, Jonathan H. Manton
2025 J jnl
Fast Rate Information-Theoretic Bounds on Generalization Errors.
IEEE Trans. Inf. Theory
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2025 J jnl
Pulse processing - Overview and challenges.
Signal Process.
Jonathan H. Manton
2024 — conf
A Decentralised Asynchronous Optimisation Algorithm with an Application to Phase Retrieval.
SAM
Behnam Mafakheri, Jonathan H. Manton, Iman Shames
2024 Misc conf
Enhanced Axle-Based Vehicle Classification Using Angle-Based Micro-Doppler Signature.
ICASSP
Victor R. J. Deville, C. M. Lievers, Jonathan H. Manton
2024 — conf
Estimating Vehicle Length Using FMCW Radar: A Micro-Doppler Signature Analysis Approach.
EUSIPCO
Victor R. J. Deville, Jamie S. Evans, Jonathan H. Manton
2024 — conf
First Order Online Optimisation Using Forward Gradients in Over-Parameterised Systems.
ECC
Behnam Mafakheri, Jonathan H. Manton, Iman Shames
2024 J jnl
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models.
J. Mach. Learn. Res.
Xuetong Wu, Mingming Gong, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2024 J jnl
On the Generalization for Transfer Learning: An Information-Theoretic Analysis.
IEEE Trans. Inf. Theory
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2023 J jnl
A Bayesian approach to (online) transfer learning: Theory and algorithms.
Artif. Intell.
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2023 J jnl
On Distributed Nonconvex Optimisation via Modified ADMM.
IEEE Control. Syst. Lett.
Behnam Mafakheri, Jonathan H. Manton, Iman Shames
2023 J jnl
On OAMP: Impact of the Orthogonal Principle.
IEEE Trans. Commun.
Lei Liu, Yiyao Cheng, Shansuo Liang, Jonathan H. Manton, Li Ping
2023 J jnl
On the tightness of information-theoretic bounds on generalization error of learning algorithms.
CoRR
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2023 J jnl
Orthogonal AMP for Problems With Multiple Measurement Vectors and/or Multiple Transforms.
IEEE Trans. Signal Process.
Yiyao Cheng, Lei Liu, Shansuo Liang, Jonathan H. Manton, Li Ping
2023 — conf
Orthogonal AMP for Problems with Multiple Measurement Vectors and/or Multiple Transforms.
ISTC
Yiyao Cheng, Lei Liu, Shansuo Liang, Jonathan H. Manton, Li Ping
2023 J jnl
Orthogonal AMP for Problems with Multiple Measurement Vectors and/or Multiple Transforms.
CoRR
Yiyao Cheng, Lei Liu, Shansuo Liang, Jonathan H. Manton, Li Ping
2022 J jnl
An Information-Theoretic Analysis for Transfer Learning: Error Bounds and Applications.
CoRR
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2022 — conf
Computationally-Efficient Sparsely-Connected Multi-Output Neural Networks for IM/DD System Equalization.
OFC
Zhaopeng Xu, Shuangyu Dong, Honglin Ji, Jonathan H. Manton, William Shieh
2022 B conf
Fast Rate Generalization Error Bounds: Variations on a Theme.
ITW
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2022 J jnl
Fast Rate Generalization Error Bounds: Variations on a Theme.
CoRR
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2022 J jnl
ManifoldNet: A Deep Neural Network for Manifold-Valued Data With Applications.
IEEE Trans. Pattern Anal. Mach. Intell.
Rudrasis Chakraborty, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri
2022 J jnl
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis.
CoRR
Xuetong Wu, Mingming Gong, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2022 J jnl
On Orthogonal Approximate Message Passing.
CoRR
Lei Liu, Yiyao Cheng, Shansuo Liang, Jonathan H. Manton, Li Ping
2022 J jnl
Tracking and Regret Bounds for Online Zeroth-Order Euclidean and Riemannian Optimization.
SIAM J. Optim.
Alejandro I. Maass, Chris Manzie, Dragan Nesic, Jonathan H. Manton, Iman Shames
2021 J jnl
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms.
CoRR
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2021 — conf
From Bayesian Inference to MCMC and Convex Optimisation in Hadamard Manifolds.
GSI
Salem Said, Nicolas Le Bihan, Jonathan H. Manton
2021 B conf
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge.
ISIT
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2021 J jnl
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge.
CoRR
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2021 — conf
Towards Low Computational Complexity for Neural Network-Based Equalization in PAM4 Short-Reach Direct Detection Systems by Multi-Symbol Prediction.
OFC
Zhaopeng Xu, Chuanbowen Sun, Shuangyu Dong, Jonathan H. Manton, William Shieh
2020 — conf
An optimisation geometry framework for the Rayleigh quotient.
EUSIPCO
Jeanne Lefevre, Jonathan H. Manton, Nicolas Le Bihan
2020 J jnl
Geometry, Manifolds, and Nonconvex Optimization: How Geometry Can Help Optimization.
IEEE Signal Process. Mag.
Jonathan H. Manton
2020 B conf
Information-theoretic analysis for transfer learning.
ISIT
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2020 J jnl
Information-theoretic analysis for transfer learning.
CoRR
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2020 B conf
New Insights on Learning Rules for Hopfield Networks: Memory and Objective Function Minimisation.
IJCNN
Pavel Tolmachev, Jonathan H. Manton
2020 J jnl
New Insights on Learning Rules for Hopfield Networks: Memory and Objective Function Minimisation.
CoRR
Pavel Tolmachev, Jonathan H. Manton
2020 J jnl
Non-Parametric Decompounding of Pulse Pile-Up Under Gaussian Noise With Finite Data Sets.
IEEE Trans. Signal Process.
Christopher McLean, Michael Pauley, Jonathan H. Manton
2020 J jnl
Online Optimization Using Zeroth Order Oracles.
IEEE Control. Syst. Lett.
Iman Shames, Daniel Selvaratnam, Jonathan H. Manton
2019 — conf
A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging.
IPMI
Rudrasis Chakraborty, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri
2019 — conf
The Riemannian Barycentre as a Proxy for Global Optimisation.
GSI
Salem Said, Jonathan H. Manton
2018 — conf
A Distributed Transmission Scheduling Algorithm for Wireless Networks Based on the Ising Model.
SSP
Xi Li, Pavel Tolmachev, Michael Pauley, Jonathan H. Manton
2018 J jnl
Fast Kernel Smoothing by a Low-Rank Approximation of the Kernel Toeplitz Matrix.
J. Math. Imaging Vis.
Guang Deng, Jonathan H. Manton, Song Wang
2018 — conf
Global Optimisation for Time of Arrival-Based Localisation.
SSP
Michael Pauley, Jonathan H. Manton
2018 — conf
Limitations of Decision Based Pile-Up Correction Algorithms.
SSP
Christopher McLean, Michael Pauley, Jonathan H. Manton
2018 J jnl
ManifoldNet: A Deep Network Framework for Manifold-valued Data.
CoRR
Rudrasis Chakraborty, Jose Bouza, Jonathan H. Manton, Baba C. Vemuri
2018 — conf
Modeling the Respiratory Central Pattern Generator with Resonate-and-Fire Izhikevich-Neurons.
ICONIP (1)
Pavel Tolmachev, Rishi R. Dhingra, Michael Pauley, Mathias Dutschmann, Jonathan H. Manton
2018 — conf
Numerical Optimisation of Time-Varying Strongly Convex Functions Subject to Time-Varying Constraints.
CDC
Daniel D. Selvaratnam, Iman Shames, Jonathan H. Manton, Mohammad Zamani
2018 J jnl
The Existence Question for Maximum-Likelihood Estimators in Time-of-Arrival-Based Localization.
IEEE Signal Process. Lett.
Michael Pauley, Jonathan H. Manton
2017 — conf
Co-operative estimation for source localisation using binary sensors.
CDC
Daniel D. Selvaratnam, Iman Shames, Dimos V. Dimarogonas, Jonathan H. Manton, Branko Ristic
2017 — conf
Density Estimation for Compound Cox Processes on Hyperspheres.
GSI
Florent Chatelain, Nicolas Le Bihan, Jonathan H. Manton
2017 J jnl
Mathematical model of TGF-βsignalling: feedback coupling is consistent with signal switching.
BMC Syst. Biol.
Shabnam Khatibi, Hong-Jian Zhu, John Wagner, Chin Wee Tan, Jonathan H. Manton, Antony W. Burgess
2017 Misc conf
Numerical filtering of linear state-space models with Markov switching.
ICASSP
Michael Pauley, Christopher McLean, Jonathan H. Manton
2017 B conf
On some global topological aspects of manifold learning.
ICIP
Jonathan H. Manton, Nicolas Le Bihan
2017 — conf
Optimisation geometry and its implications for optimisation algorithms.
CAMSAP
Michael Pauley, Jonathan H. Manton
2017 — conf
Performance metrics for energy spectrum estimation.
GlobalSIP
Christopher McLean, Michael Pauley, Jonathan H. Manton
2017 — conf
Riemannian Gaussian Distributions on the Space of Positive-Definite Quaternion Matrices.
GSI
Salem Said, Nicolas Le Bihan, Jonathan H. Manton
2017 J jnl
Riemannian Gaussian Distributions on the Space of Symmetric Positive Definite Matrices.
IEEE Trans. Inf. Theory
Salem Said, Lionel Bombrun, Yannick Berthoumieu, Jonathan H. Manton
2017 J jnl
Tracking Electroencephalographic Changes Using Distributions of Linear Models: Application to Propofol-Based Depth of Anesthesia Monitoring.
IEEE Trans. Biomed. Eng.
Levin Kuhlmann, Jonathan H. Manton, Bjorn Heyse, Hugo E. M. Vereecke, Tarmo Lipping, Michel M. R. F. Struys, David T. J. Liley
2016 J jnl
Filtering from observations on Stiefel manifolds.
Signal Process.
Jérémie Boulanger, Salem Said, Nicolas Le Bihan, Jonathan H. Manton
2016 J jnl
Isotropic Multiple Scattering Processes on Hyperspheres.
IEEE Trans. Inf. Theory
Nicolas Le Bihan, Florent Chatelain, Jonathan H. Manton
2016 Misc conf
Low-resolution reconstruction of intensity functions on the sphere for single-particle diffraction imaging.
ICASSP
Julien Flamand, Nicolas Le Bihan, Andrew V. Martin, Jonathan H. Manton
2016 J jnl
Neural mass model-based tracking of anesthetic brain states.
NeuroImage
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
2016 — conf
On an analogue signal processing circuit in the Nematode C. elegans.
EMBC
Roghieh Skandari, Yuichi Iino, Jonathan H. Manton
2016 J jnl
Optimal Cable Laying Across an Earthquake Fault Line Considering Elliptical Failures.
IEEE Trans. Reliab.
Cong Cao, Zengfu Wang, Moshe Zukerman, Jonathan H. Manton, Alain Bensoussan, Yu Wang
2015 J jnl
A Primer on Reproducing Kernel Hilbert Spaces.
Found. Trends Signal Process.
Jonathan H. Manton, Pierre-Olivier Amblard
2015 J jnl
A framework for generalising the Newton method and other iterative methods from Euclidean space to manifolds.
Numerische Mathematik
Jonathan H. Manton
2015 — conf
C. elegans locomotion analysis using algorithmic information theory.
EMBC
Roghieh Skandari, Nicolas Le Bihan, Jonathan H. Manton
2015 Misc conf
Parameter estimation for multiple scattering process on the sphere.
ICASSP
Florent Chatelain, Nicolas Le Bihan, Jonathan H. Manton
2015 Misc conf
Particle filtering with observations in a manifold.
ICASSP
Salem Said, Jonathan H. Manton
2015 — conf
Quantifying gyrification using Laplace Beltrami eigenfunction level-sets.
ISBI
Rosita Shishegar, Jonathan H. Manton, David W. Walker, Joanne M. Britto, Leigh A. Johnston
2014 J jnl
Approximate, Computationally Efficient Online Learning in Bayesian Spiking Neurons.
Neural Comput.
Levin Kuhlmann, Michael Hauser-Raspe, Jonathan H. Manton, David B. Grayden, Jonathan Tapson, André van Schaik
2014 J jnl
Constellation Design for a Multicarrier Optical Wireless Communication Channel.
IEEE Trans. Commun.
Qian Gao, Jonathan H. Manton, Gang Chen, Yingbo Hua
2014 J jnl
Filtering from Observations on Stiefel Manifolds.
CoRR
Jérémie Boulanger, Salem Said, Nicolas Le Bihan, Jonathan H. Manton
2014 J jnl
Isotropic Multiple Scattering Processes on Hyperspheres.
CoRR
Nicolas Le Bihan, Florent Chatelain, Jonathan H. Manton
2014 Misc conf
Monte-carlo estimation from observation on stiefel manifold.
ICASSP
Jérémie Boulanger, Nicolas Le Bihan, Salem Said, Jonathan H. Manton
2013 J jnl
A Primer on Stochastic Differential Geometry for Signal Processing.
IEEE J. Sel. Top. Signal Process.
Jonathan H. Manton
2013 — conf
A gap metric perspective of well-posedness for nonlinear feedback interconnections.
AuCC
Sei Zhen Khong, Michael Cantoni, Jonathan H. Manton
2013 — conf
A quantitative technique for assessing the change in severity over time in psoriatic lesions using computer aided image analysis.
EMBC
Juan Lu, Ed Kazmierczak, Jonathan H. Manton, Rodney Sinclair
2013 J jnl
Automatic Segmentation of Scaling in 2-D Psoriasis Skin Images.
IEEE Trans. Medical Imaging
Juan Lu, Ed Kazmierczak, Jonathan H. Manton, Rodney Sinclair
2013 J jnl
Introduction to the issue on differential geometry in signal processing.
IEEE J. Sel. Top. Signal Process.
Jonathan H. Manton, David Applebaum, Shiro Ikeda, Nicolas Le Bihan
2013 J jnl
On Filtering with Observation in a Manifold: Reduction to a Classical Filtering Problem.
SIAM J. Control. Optim.
Salem Said, Jonathan H. Manton
2013 Misc conf
On data sparsification and a recursive algorithm for estimating a kernel-based measure of independence.
ICASSP
Pierre-Olivier Amblard, Jonathan H. Manton
2013 — conf
Opinion dynamics with noisy information.
CDC
Minyi Huang, Jonathan H. Manton
2013 — conf
Power-Efficient Constellation Design for a Multicarrier Optical Wireless System.
MILCOM
Qian Gao, Jonathan H. Manton, Gang Chen, Yingbo Hua
2013 J jnl
Stationary Random Fields Arising From Second-Order Partial Differential Equations on Compact Lie Groups.
IEEE Trans. Inf. Theory
Salem Said, Pierre-Olivier Amblard, Jonathan H. Manton
2012 — conf
Automatic Scoring of Erythema and Scaling Severity in Psoriasis Diagnosis.
Australasian Conference on Artificial Intelligence
Juan Lu, Ed Kazmierczak, Jonathan H. Manton, Rodney Sinclair
2012 J jnl
Extrinsic Mean of Brownian Distributions on Compact Lie Groups.
IEEE Trans. Inf. Theory
Salem Said, Jonathan H. Manton
2012 B conf
Online learning in Bayesian Spiking Neurons.
IJCNN
Levin Kuhlmann, Michael Hauser-Raspe, Jonathan H. Manton, David B. Grayden, Jonathan Tapson, André van Schaik
2012 — conf
Wiener filtering of rotation processes using ordered exponential.
SSP
Jérémie Boulanger, Nicolas Le Bihan, Jonathan H. Manton
2011 J jnl
An Introductory Review of Information Theory in the Context of Computational Neuroscience
CoRR
Mark D. McDonnell, Shiro Ikeda, Jonathan H. Manton
2011 J jnl
An introductory review of information theory in the context of computational neuroscience.
Biol. Cybern.
Mark D. McDonnell, Shiro Ikeda, Jonathan H. Manton
2011 J jnl
Distributed Principal Subspace Estimation in Wireless Sensor Networks.
IEEE J. Sel. Top. Signal Process.
Lin Li, Anna Scaglione, Jonathan H. Manton
2011 C conf
Tracking Markov targets in binary sensor networks: Source coding and large deviation limits on the required number of queries.
ICICS
Mohammad Rezaeian, Jonathan H. Manton, Bill Moran
2010 J jnl
Bandwidth allocation in wireless ad hoc networks: Challenges and prospects.
IEEE Commun. Mag.
Xueyuan Su, Sammy Chan, Jonathan H. Manton
2010 B conf
Decentralized Subspace Tracking via Gossiping.
DCOSS
Lin Li, Xiao Li, Anna Scaglione, Jonathan H. Manton
2010 J jnl
Decompounding on compact lie groups.
IEEE Trans. Inf. Theory
Salem Said, Christian Lageman, Nicolas Le Bihan, Jonathan H. Manton
2010 B conf
Erythema detection in digital skin images.
ICIP
Juan Lu, Jonathan H. Manton, Ed Kazmierczak, Rodney Sinclair
2010 J jnl
Stochastic Consensus Seeking With Noisy and Directed Inter-Agent Communication: Fixed and Randomly Varying Topologies.
IEEE Trans. Autom. Control.
Minyi Huang, Jonathan H. Manton
2010 J jnl
Stochastic consensus over noisy networks with Markovian and arbitrary switches.
Autom.
Minyi Huang, Subhrakanti Dey, Girish N. Nair, Jonathan H. Manton
2009 J jnl
A Cross-Relation-Based Frequency-Domain Method for Blind SIMO-OFDM Channel Estimation.
IEEE Signal Process. Lett.
Song Wang, Jonathan H. Manton
2009 J jnl
Blind Channel Estimation for Non-CP OFDM Systems Using Multiple Receive Antennas.
IEEE Signal Process. Lett.
Song Wang, Jonathan H. Manton
2009 J jnl
Capacity of a Single Spiking Neuron Channel.
Neural Comput.
Shiro Ikeda, Jonathan H. Manton
2009 J jnl
Coordination and Consensus of Networked Agents with Noisy Measurements: Stochastic Algorithms and Asymptotic Behavior.
SIAM J. Control. Optim.
Minyi Huang, Jonathan H. Manton
2009 J jnl
Decompounding on compact Lie groups
CoRR
Salem Said, Christian Lageman, Nicolas Le Bihan, Jonathan H. Manton
2009 J jnl
Generic weighted filtering of stochastic signals.
IEEE Trans. Signal Process.
Anatoli Torokhti, Jonathan H. Manton
2009 Misc conf
Nonparametric estimation for compound poisson processes on compact Lie groups.
ICASSP
Salem Said, Nicolas Le Bihan, Christian Lageman, Jonathan H. Manton
2009 B conf
Spiking neuron channel.
ISIT
Shiro Ikeda, Jonathan H. Manton
2009 — conf
Topology Design of Undersea Cables Considering Survivability Under Major Disasters.
AINA Workshops
Weiwei Wu, William Moran, Jonathan H. Manton, Moshe Zukerman
2008 J jnl
Blind SIMO channel identification using FFT/IFFT.
Signal Process.
Song Wang, Jonathan H. Manton
2008 J jnl
Progressive Linear Precoder Optimization for MIMO Packet Retransmissions Exploiting Channel Covariance Information.
IEEE Trans. Commun.
Haitong Sun, Zhihua Shi, Chunming Zhao, Jonathan H. Manton, Zhi Ding
2008 C conf
Stochastic consensus seeking with measurement noise: Convergence and asymptotic normality.
ACC
Minyi Huang, Jonathan H. Manton
2007 C conf
A Globally Convergent Conjugate Gradient Method for Minimizing Self-Concordant Functions with Application to Constrained Optimisation Problems.
ACC
Huibo Ji, Minyi Huang, John B. Moore, Jonathan H. Manton
2007 J jnl
An FFT-Based Method for Blind Identification of FIR SIMO Channels.
IEEE Signal Process. Lett.
Song Wang, Jonathan H. Manton, David B. H. Tay, Cishen Zhang, John C. Devlin
2007 J jnl
An Information Geometric Approach to ML Estimation With Incomplete Data: Application to Semiblind MIMO Channel Identification.
IEEE Trans. Signal Process.
Amin Zia, James P. Reilly, Jonathan H. Manton, Shahram Shirani
2007 — conf
Design of continuous-time flows on intertwined orbit spaces.
CDC
Pierre-Antoine Absil, Christian Lageman, Jonathan H. Manton
2007 C conf
Stochastic Double Array Analysis and Convergence of Consensus Algorithms with Noisy Measurements.
ACC
Minyi Huang, Jonathan H. Manton
2007 C conf
Stochastic Lyapunov Analysis for Consensus Algorithms with Noisy Measurements.
ACC
Minyi Huang, Jonathan H. Manton
2007 — conf
Stochastic approximation for consensus seeking: Mean square and almost sure convergence.
CDC
Minyi Huang, Jonathan H. Manton
2006 C conf
A Low Complexity Frequency-domain Approach to SIMO System Identification.
ICARCV
Song Wang, Jonathan H. Manton
2006 J jnl
A centroid (Karcher mean) approach to the joint approximate diagonalisation problem: The real symmetric case.
Digit. Signal Process.
Jonathan H. Manton
2006 J jnl
Convergence analysis of the NOJA algorithm using the ODE approach.
Signal Process.
Samir Attallah, Jonathan H. Manton, Karim Abed-Meraim
2006 — conf
On the Generalization of AR Processes To Riemannian Manifolds.
ICASSP (5)
João M. F. Xavier, Jonathan H. Manton
2006 J jnl
Progressive linear precoder optimization for MIMO packet retransmissions.
IEEE J. Sel. Areas Commun.
Haitong Sun, Jonathan H. Manton, Zhi Ding
2005 J jnl
A dual purpose principal and minor component flow.
Syst. Control. Lett.
Jonathan H. Manton, Uwe Helmke, Iven M. Y. Mareels
2005 J jnl
A sequential subspace method for blind identification of general FIR MIMO channels.
IEEE Trans. Signal Process.
Senjian An, Jonathan H. Manton, Yingbo Hua
2005 J jnl
Closed-form blind MIMO channel estimation for orthogonal space-time block codes.
IEEE Trans. Signal Process.
Shahram Shahbazpanahi, Alex B. Gershman, Jonathan H. Manton
2005 — conf
Constrained capacity of linear precoded ARQ in MIMO wireless systems.
ICASSP (3)
Haitong Sun, Harvind Samra, Zhi Ding, Jonathan H. Manton
2005 — conf
Generalizations of the Rayleigh quotient iteration for the iterative refinement of the eigenvectors of real symmetric matrices.
ICASSP (5)
Maziar Nikpour, Knut Hüper, Jonathan H. Manton
2005 J jnl
Group decorrelation enhanced subspace method for identifying FIR MIMO channels driven by unknown uncorrelated colored sources.
IEEE Trans. Signal Process.
Senjian An, Yingbo Hua, Jonathan H. Manton, Zheng Fang
2005 J jnl
On the algebraic identifiability of finite impulse response channels driven by linearly precoded signals.
Syst. Control. Lett.
Jonathan H. Manton, Walter D. Neumann, Paul T. Norbury
2005 — conf
On the role of differential geometry in signal processing.
ICASSP (5)
Jonathan H. Manton
2005 — conf
Reliable Tracking Algorithms for Principal and Minor Eigenvector Computations.
CDC/ECC
Markus Baumann, Uwe Helmke, Jonathan H. Manton
2004 C conf
A globally convergent numerical algorithm for computing the centre of mass on compact Lie groups.
ICARCV
Jonathan H. Manton
2004 — conf
A low complexity semi-blind channel identification and source recovery method for transmission systems with guard intervals.
ICASSP (4)
Jonathan H. Manton, Duong H. Pham
2004 J jnl
Blind identification of MIMO FIR systems driven by quasistationary sources using second-order statistics: a frequency domain approach.
IEEE Trans. Signal Process.
Kamran Rahbar, James P. Reilly, Jonathan H. Manton
2004 — conf
Closed-form blind decoding of orthogonal space-time block codes.
ICASSP (4)
Shahram Shahbazpanahi, Alex B. Gershman, Jonathan H. Manton
2004 — conf
Closed-form channel estimation for blind decoding of orthogonal space-time block codes.
ICC
Shahram Shahbazpanahi, Alex B. Gershman, Jonathan H. Manton
2004 — conf
Fisher information decision directed discrete optimisation.
ICASSP (2)
Ian Brace, Jonathan H. Manton
2003 — conf
A novel approach to the shifted QR algorithm for the Hermitian eigenvalue problem.
CDC
Maziar Nikpour, Jonathan H. Manton, Iven M. Y. Mareels
2003 — conf
A subspace algorithm for guard interval based channel identification and source recovery requiring just two received blocks.
ICASSP (4)
Duong H. Pham, Jonathan H. Manton
2003 — conf
Blind identification of FIR MIMO channels by group decorrelation.
ICASSP (5)
Senjian An, Yingbo Hua, Jonathan H. Manton
2003 — conf
Convex directions for nested Hurwitz polynomials.
CDC
Senjian An, Wanquan Liu, Jonathan H. Manton
2003 J jnl
Design and analysis of linear precoders under a mean square error criterion, Part I: foundations and worst case designs.
Syst. Control. Lett.
Jonathan H. Manton
2003 J jnl
Design and analysis of linear precoders under a mean square error criterion, Part II: MMSE designs and conclusions.
Syst. Control. Lett.
Jonathan H. Manton
2003 — conf
Dynamical systems for principal and minor component analysis.
CDC
Jonathan H. Manton, Uwe Helmke, Iven M. Y. Mareels
2003 J jnl
The geometry of weighted low-rank approximations.
IEEE Trans. Signal Process.
Jonathan H. Manton, Robert E. Mahony, Yingbo Hua
2003 J jnl
Totally blind channel identification by exploiting guard intervals.
Syst. Control. Lett.
Jonathan H. Manton, Walter D. Neumann
2002 Misc conf
A Viterbi-like decoder for linearly precoded and m-coded communication systems.
ICASSP
Duong H. Pham, Jonathan H. Manton
2002 Misc conf
A frequency domain approach to blind identification of MIMO FIR systems driven by quasi-stationary signals.
ICASSP
Kamran Rahbar, James P. Reilly, Jonathan H. Manton
2002 Misc conf
Algorithms on the Stiefel manifold for joint diagonalisation.
ICASSP
Maziar Nikpour, Jonathan H. Manton, Gen Hori
2002 J jnl
An OFDM interpretation of zero padded block transmissions.
Syst. Control. Lett.
Jonathan H. Manton
2002 Misc conf
An analysis of the fast subspace tracking algorithm NOja.
ICASSP
Jonathan H. Manton, Iven M. Y. Mareels, Samir Attallah
2002 J jnl
An improved least squares blind channel identification algorithm for linearly and affinely precoded communication systems.
IEEE Signal Process. Lett.
Jonathan H. Manton
2002 J jnl
Finite alphabet source recovery in polynomial systems.
Syst. Control. Lett.
Jonathan H. Manton
2002 J jnl
Optimization algorithms exploiting unitary constraints.
IEEE Trans. Signal Process.
Jonathan H. Manton
2002 J jnl
The Geometry of the Newton Method on Non-Compact Lie Groups.
J. Glob. Optim.
Robert E. Mahony, Jonathan H. Manton
2002 J jnl
The convex geometry of subchannel attenuation coefficients in linearly precoded OFDM Systems.
IEEE Trans. Inf. Theory
Jonathan H. Manton
2001 A conf
A Low Cost Channel Coding Scheme For Wireless Multimedia Communications.
ICME
Jonathan H. Manton
2001 A conf
A Packet Based Channel Identification Algorithm For Wireless Multimedia Communications.
ICME
Jonathan H. Manton
2001 — conf
A nonuniform filterbank structure for channel precoding.
ISCAS (2)
Chi-Wah Kok, Yingbo Hua, Jonathan H. Manton
2001 J jnl
Blind source-separation using second-order cyclostationary statistics.
IEEE Trans. Signal Process.
Karim Abed-Meraim, Yong Xiang, Jonathan H. Manton, Yingbo Hua
2001 Misc conf
Convolutive reduced rank Wiener filtering.
ICASSP
Jonathan H. Manton, Yingbo Hua
2001 J jnl
Dissecting OFDM: the independent roles of the cyclic prefix and the IDFT operation.
IEEE Commun. Lett.
Jonathan H. Manton
2001 Misc conf
Modified channel subspace method for identification of SIMO FIR channels driven by a trailing zero filter bank precoder.
ICASSP
Hassan Ali, Jonathan H. Manton, Yingbo Hua
2001 — conf
Modified steepest descent and Newton algorithms for orthogonally constrained optimisation. Part I. The complex Stiefel manifold.
ISSPA
Jonathan H. Manton
2001 — conf
Modified steepest descent and Newton algorithms for orthogonally constrained optimisation. Part II. The complex Grassmann manifold.
ISSPA
Jonathan H. Manton
2001 — conf
On optimal channel identification by use of training sequences and pilot tones.
ISSPA
Jonathan H. Manton
2001 J jnl
Optimal training sequences and pilot tones for OFDM systems.
IEEE Commun. Lett.
Jonathan H. Manton
2001 J jnl
Robust frequency-domain precoders.
IEEE Commun. Lett.
Jonathan H. Manton, Yingbo Hua
2001 — conf
Spectrally balanced OFDM precoders for communications over unknown multipath channels.
ISSPA
Jonathan H. Manton, Karim Abed-Meraim
2000 Misc conf
Affine precoders for reliable communications.
ICASSP
Jonathan H. Manton, Iven M. Y. Mareels, Yingbo Hua
1999 J jnl
A frequency domain deterministic approach to channel identification.
IEEE Signal Process. Lett.
Jonathan H. Manton, Yingbo Hua
1999 J jnl
Rank reduction and James-Stein estimation.
IEEE Trans. Signal Process.
Jonathan H. Manton, Yingbo Hua
1998 J jnl
James-Stein state filtering algorithms.
IEEE Trans. Signal Process.
Jonathan H. Manton, Vikram Krishnamurthy, H. Vincent Poor
1998 Misc conf
Semi-blind identification of finite impulse response channels.
ICASSP
Jonathan H. Manton, Yingbo Hua, Yufan Zheng, Cishen Zhang
1997 — conf
Optimal Estimation of Poisson Rate from Discrete Time Observations.
ICC (3)
Robert J. Elliott, Vikram Krishnamurthy, Jonathan H. Manton