Ian K. Proudler

Orcid: 0000-0002-9552-5584

According to our database1, Ian K. Proudler authored at least 62 papers between 1990 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Polynomial Eigenvalue Decomposition for Multichannel Broadband Signal Processing: A mathematical technique offering new insights and solutions.
IEEE Signal Process. Mag., November, 2023

Adaptive Kernel Kalman Filter.
IEEE Trans. Signal Process., 2023

Eigenvalue Decomposition of a Parahermitian Matrix: Extraction of Analytic Eigenvectors.
IEEE Trans. Signal Process., 2023

Extension of Power Method to Para-Hermitian Matrices: Polynomial Power Method.
Proceedings of the 31st European Signal Processing Conference, 2023

Low-Rank Para-Hermitian Matrix EVD via Polynomial Power Method with Deflation.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

Smooth QR Decomposition of Polynomial Matrices.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

Compact Order Polynomial Singular Value Decomposition of a Matrix of Analytic Functions.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022
Adaptive Kernel Kalman Filter Based Belief Propagation Algorithm for Maneuvering Multi-Target Tracking.
IEEE Signal Process. Lett., 2022

A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking.
CoRR, 2022

Performance Evaluation of Simultaneous Sensor Registration and Object Tracking Algorithm.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2022

Space-Time Covariance Matrix Estimation: Loss of Algebraic Multiplicities of Eigenvalues.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Eigenvalue Decomposition of a Parahermitian Matrix: Extraction of Analytic Eigenvalues.
IEEE Trans. Signal Process., 2021

Adaptive Kernel Kalman Filter Multi-Sensor Fusion.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2019
Efficient Implementation of Iterative Polynomial Matrix EVD Algorithms Exploiting Structural Redundancy and Parallelisation.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019

Generalized Ambiguity Function for MIMO Radar Systems.
IEEE Trans. Aerosp. Electron. Syst., 2019

Iterative Approximation of Analytic Eigenvalues of a Parahermitian Matrix EVD.
Proceedings of the IEEE International Conference on Acoustics, 2019

Analysis of Broadband GEVD-based Blind Source Separation.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Corrections to "On the Existence and Uniqueness of the Eigenvalue Decomposition of a Parahermitian Matrix".
IEEE Trans. Signal Process., 2018

On the Existence and Uniqueness of the Eigenvalue Decomposition of a Parahermitian Matrix.
IEEE Trans. Signal Process., 2018

Waveform design for communicating radar systems using Fractional Fourier Transform.
Digit. Signal Process., 2018

Enforcing Eigenvector Smoothness for a Compact DFT-Based Polynomial Eigenvalue Decomposition.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

Sequential Polynomial QR Decomposition and Decoding of Frequency Selective MIMO Channels.
Proceedings of the 26th European Signal Processing Conference, 2018

An Iterative DFT-based Approach to the Polynomial Matrix Eigenvalue Decomposition.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
On Model, Algorithms, and Experiment for Micro-Doppler-Based Recognition of Ballistic Targets.
IEEE Trans. Aerosp. Electron. Syst., 2017

Analysing the performance of divide-and-conquer sequential matrix diagonalisation for large broadband sensor arrays.
Proceedings of the 2017 IEEE International Workshop on Signal Processing Systems, 2017

Restricted update sequential matrix diagonalisation for parahermitian matrices.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

A comparison of iterative and DFT-Based polynomial matrix eigenvalue decompositions.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
Memory and complexity reduction in parahermitian matrix manipulations of PEVD algorithms.
Proceedings of the 24th European Signal Processing Conference, 2016

Complexity and search space reduction in cyclic-by-row PEVD algorithms.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Investigation of a polynomial matrix generalised EVD for multi-channel Wiener filtering.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Label Consistent K-SVD for sparse micro-Doppler classification.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

MVDR broadband beamforming using polynomial matrix techniques.
Proceedings of the 23rd European Signal Processing Conference, 2015

Row-shift corrected truncation of paraunitary matrices for PEVD algorithms.
Proceedings of the 23rd European Signal Processing Conference, 2015

Performance trade-offs in sequential matrix diagonalisation search strategies.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
Multiple shift maximum element sequential matrix diagonalisation for parahermitian matrices.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Reuse of fractional waveform libraries for MIMO radar and electronic countermeasures.
Proceedings of the 6th International Symposium on Communications, 2014

Causality-constrained multiple shift sequential matrix diagonalisation for parahermitian matrices.
Proceedings of the 22nd European Signal Processing Conference, 2014

Maximum energy sequential matrix diagonalisation for parahermitian matrices.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2012
Polynomial matrix QR decomposition for the decoding of frequency selective multiple-input multiple-output communication channels.
IET Signal Process., 2012

2007
Frequency invariant beamforming for two-dimensional and three-dimensional arrays.
Signal Process., 2007

An Iterative Signal Detection Algorithm Based on Bayesian Belief Propagation Ideas.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

2006
Exploitation of source nonstationarity in underdetermined blind source separation with advanced clustering techniques.
IEEE Trans. Signal Process., 2006

2005
Adaptive feedback cancellation in hearing aids with linear prediction of the desired signal.
IEEE Trans. Signal Process., 2005

An instrumental variable method for adaptive feedback cancellation in hearing aids.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2003
The KaGE RLS algorithm.
IEEE Trans. Signal Process., 2003

2002
Understanding the explosive divergence of the FTF algorithm.
Proceedings of the 14th International Conference on Digital Signal Processing, 2002

Comparing efficient broadband beamforming architectures and their performance trade-offs.
Proceedings of the 14th International Conference on Digital Signal Processing, 2002

Feedback cancellation in hearing aids: An unbiased modelling approach.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
A conceptual framework for consistency, conditioning, and stability issues in signal processing.
IEEE Trans. Signal Process., 2001

Analysis of the direct and indirect <i>a posteriori</i> RLSL algorithm.
Numer. Linear Algebra Appl., 2001

KAGE: a new fast RLS algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2001

1999
Approximate minimum norm subspace projection of least squares weights without an SVD.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
MVDR beamforming with inverse updating.
Proceedings of the 9th European Signal Processing Conference, 1998

1997
Using a lattice algorithm to estimate the Kalman gain vector in fast Newton-type adaptive filtering.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

An estimation algorithm for AR models with closely located lightly damped low frequency poles.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
An effective approach to adaptive IIR filtering.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

Increasing the performance of the LMS algorithm using an adaptive preconditioner.
Proceedings of the 8th European Signal Processing Conference, 1996

1995
On the derivation of parallel filter structures for adaptive eigenvalue and singular value decompositions.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
On the Formal Derivaiton of a Systolic Array for Recursive Least Squares Estimation.
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994

On the formal derivation of a systolic array for recursive least squares estimation.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

1993
Orthogonal lattice algorithms for adaptive filtering and beamforming.
Integr., 1993

1990
Computationally efficient QRD-based wide-band beamforming.
Proceedings of the 1990 International Conference on Acoustics, 1990


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