Access the full text.
Sign up today, get DeepDyve free for 14 days.
C. Lopes, A. Sayed (2007)
Incremental Adaptive Strategies Over Distributed NetworksIEEE Transactions on Signal Processing, 55
C. Lopes, A. Sayed (2008)
Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance AnalysisIEEE Transactions on Signal Processing, 56
S. Haykin (2001)
Signal processing: where physics and mathematics meetIEEE Signal Process. Mag., 18
M. Raghavendra, K. Giridhar (2004)
Improving channel estimation in OFDM systems for sparse multipath channelsIEEE Signal Processing Letters, 12
(2000)
Double-talk robust fast converging algorithms for network echo cancellation
Yiteng Huang, J. Benesty, Jingdong Chen (2006)
Acoustic MIMO Signal Processing
Y. Kopsinis, K. Slavakis, S. Theodoridis (2010)
Online Sparse System Identification and Signal Reconstruction Using Projections Onto Weighted $\ell_{1}$ BallsIEEE Transactions on Signal Processing, 59
E. Papoulis, T. Stathaki (2004)
A normalized robust mixed-norm adaptive algorithm for system identificationIEEE Signal Processing Letters, 11
B. Hassibi, A. Sayed, T. Kailath (1999)
2. Linear Estimation in Krein Spaces
E. Mazets, S. Golenetskii, V. Il’inskii, V. Panov, R. Aptekar', Yu. Gur'yan, M. Proskura, I. Sokolov, Z. Sokolova, T. Kharitonova, A. Dyatchkov, N. Khavenson (1982)
Parts I and II
L. Vega, H. Rey, J. Benesty, S. Tressens (2008)
A New Robust Variable Step-Size NLMS AlgorithmIEEE Transactions on Signal Processing, 56
Yuantao Gu, Jian Jin, Shunliang Mei (2009)
$l_{0}$ Norm Constraint LMS Algorithm for Sparse System IdentificationIEEE Signal Processing Letters, 16
H. Rey, L. Vega, S. Tressens, J. Benesty (2007)
Variable Explicit Regularization in Affine Projection Algorithm: Robustness Issues and Optimal ChoiceIEEE Transactions on Signal Processing, 55
B. Hassibi, A. Sayed, T. Kailath (1996)
H∞ optimality of the LMS algorithmIEEE Trans. Signal Process., 44
P. Huber (2005)
Robust Statistics
J. Chambers, Apostolos Avlonitis (1997)
A robust mixed-norm adaptive filter algorithmIEEE Signal Processing Letters, 4
M. Rupp, A. Sayed (1996)
A time-domain feedback analysis of filtered-error adaptive gradient algorithmsIEEE Trans. Signal Process., 44
R. Mahony, R. Williamson (2001)
Prior Knowledge and Preferential Structures in Gradient Descent Learning AlgorithmsJ. Mach. Learn. Res., 1
Andreas Mader, H. Puder, G. Schmidt (2000)
Step-size control for acoustic echo cancellation filters - an overviewSignal Process., 80
B. Babadi, N. Kalouptsidis, V. Tarokh (2010)
SPARLS: The Sparse RLS AlgorithmIEEE Transactions on Signal Processing, 58
J. Haupt, W. Bajwa, G. Raz, R. Nowak (2010)
Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel EstimationIEEE Transactions on Information Theory, 56
L. Vega, H. Rey, J. Benesty (2010)
A robust variable step-size affine projection algorithmSignal Process., 90
D. Challa, S. Grant, A. Mohammad (2007)
Variable Regularized Fast Affine Projections2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 1
J. Benesty, H. Rey, L. Vega, S. Tressens (2006)
A Nonparametric VSS NLMS AlgorithmIEEE Signal Processing Letters, 13
S. Chouvardas, K. Slavakis, S. Theodoridis (2011)
Adaptive Robust Distributed Learning in Diffusion Sensor NetworksIEEE Transactions on Signal Processing, 59
C. Paleologu, J. Benesty, S. Ciochină (2008)
A Variable Step-Size Affine Projection Algorithm Designed for Acoustic Echo CancellationIEEE Transactions on Audio, Speech, and Language Processing, 16
J. Homer, I. Mareels, Charles Hoang (2006)
Enhanced detection-guided NLMS estimation of sparse FIR-modeled signal channelsIEEE Transactions on Circuits and Systems I: Regular Papers, 53
Y. Tseng, Meng-Shiuan Pan, Chih-Wei Yi (2008)
Wireless sensor networksAccess Science
L. Vega, H. Rey, J. Benesty, S. Tressens (2009)
A Fast Robust Recursive Least-Squares AlgorithmIEEE Transactions on Signal Processing, 57
Christina Breining, P. Dreiseitel, E. Hänsler, Andreas Mader, B. Nitsch, H. Puder, T. Schertler, G. Schmidt, J. Tilp (1999)
Acoustic echo control. An application of very-high-order adaptive filtersIEEE Signal Process. Mag., 16
A. Bertrand, M. Moonen (2010)
Distributed Adaptive Node-Specific Signal Estimation in Fully Connected Sensor Networks—Part II: Simultaneous and Asynchronous Node UpdatingIEEE Transactions on Signal Processing, 58
S. Amari (1998)
Natural Gradient Works Efficiently in LearningNeural Computation, 10
Yilun Chen, Yuantao Gu, A. Hero (2009)
Sparse LMS for system identification2009 IEEE International Conference on Acoustics, Speech and Signal Processing
I. Akyildiz, Weilian Su, Y. Sankarasubramaniam, E. Cayirci (2002)
Sensor Networks
I. Schizas, G. Mateos, G. Giannakis (2009)
Distributed LMS for Consensus-Based In-Network Adaptive ProcessingIEEE Transactions on Signal Processing, 57
Christina Breining (1999)
Acoustic echo control
F. Cattivelli, C. Lopes, A. Sayed (2008)
Diffusion recursive least-squares for distributed estimation over adaptive networksIEEE Transactions on Signal Processing, 56
Young-Seok Choi, Hyun-Chool Shin, Woo‐Jin Song (2007)
Adaptive Regularization Matrix for Affine Projection AlgorithmIEEE Transactions on Circuits and Systems II: Express Briefs, 54
L. Vega, H. Rey, J. Benesty, S. Tressens (2009)
A Family of Robust Algorithms Exploiting Sparsity in Adaptive FiltersIEEE Transactions on Audio, Speech, and Language Processing, 17
Hyun-Chool Shin, A. Sayed, Woo‐Jin Song (2004)
Variable step-size NLMS and affine projection algorithmsIEEE Signal Processing Letters, 11
Richard Martin, W. Sethares, R. Williamson, C. Johnson (2002)
Exploiting sparsity in adaptive filtersIEEE Trans. Signal Process., 50
A. Bertrand, M. Moonen (2010)
Distributed Adaptive Node-Specific Signal Estimation in Fully Connected Sensor Networks—Part I: Sequential Node UpdatingIEEE Transactions on Signal Processing, 58
B. Hassibi, A. Sayed, T. Kailath (1996)
Linear estimation in Krein spaces. II. ApplicationsIEEE Trans. Autom. Control., 41
E. Candès, M. Wakin (2008)
An Introduction To Compressive SamplingIEEE Signal Processing Magazine, 25
K. Mayyas (2010)
A variable step-size affine projection algorithmDigit. Signal Process., 20
U. Shaked, Y. Theodor (1992)
H/sub infinity /-optimal estimation: a tutorial[1992] Proceedings of the 31st IEEE Conference on Decision and Control
P. Petrus (1999)
Robust Huber adaptive filterIEEE Trans. Signal Process., 47
D. Duttweiler (2000)
Proportionate normalized least-mean-squares adaptation in echo cancelersIEEE Trans. Speech Audio Process., 8
Yuexian Zou, S. Chan, T. Ng (2000)
Fast least mean M-estimate algorithms for robust adaptive filtering in impulse noise2000 10th European Signal Processing Conference
Wutao Yin, A. Mehr (2010)
A Variable Regularization Method for Affine Projection AlgorithmIEEE Transactions on Circuits and Systems II: Express Briefs, 57
B. Hassibi, A. Sayed, T. Kailath (1996)
Linear estimation in Krein spaces. I. TheoryIEEE Trans. Autom. Control., 41
T. Aboulnasr, K. Mayyas (1997)
A robust variable step-size LMS-type algorithm: analysis and simulationsIEEE Trans. Signal Process., 45
[In this final chapter we provide a concise and brief discussion of other topics not covered in the previous chapters. These topics are more advanced or are the object of active research in the area of adaptive filtering. A brief introduction to each topic and several relevant references for the interested reader are provided.]
Published: Aug 4, 2012
Keywords: Wireless Sensor Network; Posteriori Error; Adaptive Filter; Impulsive Noise; Krein Space
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.