An Experimental Comparison of Three PCA Neural Networks
Neural Processing Letters
On a Class of Orthonormal Algorithms for Principal and Minor Subspace Tracking
Journal of VLSI Signal Processing Systems
Fast adaptive eigenvalue decomposition: a maximum likelihood approach
Signal Processing
Blind Source Separation Using Principal Component Neural Networks
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
A beamforming algorithm for slow FH spread-spectrum systems
Signal Processing
Sequential EM learning for subspace analysis
Pattern Recognition Letters
Neural learning by geometric integration of reduced 'rigid-body' equations
Journal of Computational and Applied Mathematics
Generalized principal component beamformer for communication systems
Signal Processing - Content-based image and video retrieval
Streaming pattern discovery in multiple time-series
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Nonlinear Complex-Valued Extensions of Hebbian Learning: An Essay
Neural Computation
A Theory for Learning by Weight Flow on Stiefel-Grassman Manifold
Neural Computation
Optimal multi-scale patterns in time series streams
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Constrained Projection Approximation Algorithms for Principal Component Analysis
Neural Processing Letters
Journal of VLSI Signal Processing Systems
A power-based adaptive method for eigenanalysis without square-root operations
Digital Signal Processing
Automatica (Journal of IFAC)
Space-time coded MC-CDMA: blind channel estimation, identifiability, and receiver design
EURASIP Journal on Applied Signal Processing
Blind reduced-rank MMSE detector for DS-CDMA systems
EURASIP Journal on Applied Signal Processing
Tracking of multiple moving sources using recursive EM algorithm
EURASIP Journal on Applied Signal Processing
Multiuser channel estimation for ultra-wideband systems using up to the second-order statistics
EURASIP Journal on Applied Signal Processing
Fast adaptive blind MMSE equalizer for multichannel FIR systems
EURASIP Journal on Applied Signal Processing
Fast iterative subspace algorithms for airborne STAP radar
EURASIP Journal on Applied Signal Processing
Recursive principal components analysis using eigenvector matrix perturbation
EURASIP Journal on Applied Signal Processing
Robust adaptive modified Newton algorithm for generalized eigendecomposition and its application
EURASIP Journal on Advances in Signal Processing
Multiuser receivers for MC-CDMA MIMO systems with space-time block codes
Signal Processing
Neural Information Processing
Extraction of Approximate Independent Components from Large Natural Scenes
Neural Information Processing
Concise Coupled Neural Network Algorithm for Principal Component Analysis
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Descent methods for optimization on homogeneous manifolds
Mathematics and Computers in Simulation
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
An Efficient Adaptive Minor Subspace Extraction Using Exact Nested Orthogonal Complement Structure
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
IEEE/ACM Transactions on Networking (TON)
Subspace-Based Schemes for NBI and MAI Suppression in DS-CDMA Communications
Wireless Personal Communications: An International Journal
Multitarget tracking algorithms using angle innovations and extended Kalman filter
WSEAS TRANSACTIONS on SYSTEMS
Fast predictive angle tracking (FPAT) algorithm for tracking multiple targets
MUSP'09 Proceedings of the 9th WSEAS international conference on Multimedia systems & signal processing
Blind multi-user-detection for TH-UWB systems in UWB channels
ICCOM'08 Proceedings of the 12th WSEAS international conference on Communications
Fast subspace tracking algorithm based on the constrained projection approximation
EURASIP Journal on Advances in Signal Processing
The fast recursive row-Householder subspace tracking algorithm
Signal Processing
IEEE Transactions on Audio, Speech, and Language Processing
Tracking nonstationary visual appearances by data-driven adaptation
IEEE Transactions on Image Processing
On MMSE methods for blind identification of OFDM-based SIMO systems
WOCN'09 Proceedings of the Sixth international conference on Wireless and Optical Communications Networks
DOA estimation based on the database retrieval technique with nonuniform quantization and clustering
Digital Signal Processing
An error propagation prevention method for MIMO-OFDM RLS-DDCE-algorithms
ISWCS'09 Proceedings of the 6th international conference on Symposium on Wireless Communication Systems
Linear mltilayer ICA using adaptive PCA
Neural Processing Letters
A robust H∞ learning approach to blind separation of signals
Digital Signal Processing
Data stream anomaly detection through principal subspace tracking
Proceedings of the 2010 ACM Symposium on Applied Computing
A toolbox for model-free analysis of fMRI data
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
Low complexity DFT-domain noise PSD tracking using high-resolution periodograms
EURASIP Journal on Advances in Signal Processing
Sinusoidal order estimation using angles between subspaces
EURASIP Journal on Advances in Signal Processing
An interference suppression scheme for MIMO-OSTBC system
WSEAS TRANSACTIONS on COMMUNICATIONS
A new robust Kalman filter-based subspace tracking algorithm in an impulsive noise environment
IEEE Transactions on Circuits and Systems II: Express Briefs
The Subspace-Based Linear Conjugate CMA in BPSK-Modulated MC-CDMA Systems
Wireless Personal Communications: An International Journal
Bidirectional MIMO channel tracking based on PASTd and performance evaluation
EURASIP Journal on Advances in Signal Processing - Special issue on advanced equalization techniques for wireless communications
Journal of Electrical and Computer Engineering
On variations of power iteration
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Nonlinear adaptive blind source separation based on kernel function
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
A new kalman filtering algorithm for nonlinear principal component analysis
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
A prewhitening RLS projection alternated subspace tracking (PAST) algorithm
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Decentralized subspace tracking via gossiping
DCOSS'10 Proceedings of the 6th IEEE international conference on Distributed Computing in Sensor Systems
Brief Recursive 4SID algorithms using gradient type subspace tracking
Automatica (Journal of IFAC)
Recursive subspace identification of linear and non-linear Wiener state-space models
Automatica (Journal of IFAC)
Hierarchical gradient-based identification of multivariable discrete-time systems
Automatica (Journal of IFAC)
Low complexity adaptive algorithms for Principal and Minor Component Analysis
Digital Signal Processing
Robust adaptive beamforming method using principal eigenpairs with modification of PASTd
Digital Signal Processing
Adaptive weighted orthogonal constrained algorithm for blind source separation
Digital Signal Processing
Multidimensional Systems and Signal Processing
Tracking time-varying correlated underwater acoustic channels in the signal subspace
Proceedings of the Eighth ACM International Conference on Underwater Networks and Systems
Detecting correlation between server resources for system management
Journal of Computer and System Sciences
| Hi-index | 35.69 |
Subspace estimation plays an important role in a variety of modern signal processing applications. We present a new approach for tracking the signal subspace recursively. It is based on a novel interpretation of the signal subspace as the solution of a projection like unconstrained minimization problem. We show that recursive least squares techniques can be applied to solve this problem by making an appropriate projection approximation. The resulting algorithms have a computational complexity of O(nr) where n is the input vector dimension and r is the number of desired eigencomponents. Simulation results demonstrate that the tracking capability of these algorithms is similar to and in some cases more robust than the computationally expensive batch eigenvalue decomposition. Relations of the new algorithms to other subspace tracking methods and numerical issues are also discussed