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2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 04/2018, Volume 2018-, pp. 4294 - 4298
Group zero-attracting LMS and its reweighted form have been proposed for addressing system identification problems with structural group sparsity in the parameters to estimate... 
Simulation | Estimation | Sparse system identification | adaptive parameter adjustment | Mathematical model | Indexes | Matrix decomposition | Covariance matrices | Transient analysis | group sparsity | zero-attracting LMS | Group sparsity | Adaptive parameter adjustment | Zero-attracting LMS
Conference Proceeding
International Journal of Communication Systems, ISSN 1074-5351, 05/2018, Volume 31, Issue 7, pp. e3393 - n/a
Journal Article
Radioengineering, ISSN 1210-2512, 04/2018, Volume 27, Issue 1, pp. 270 - 280
Journal Article
IEEE access, ISSN 2169-3536, 2019, Volume 7, pp. 135770 - 135779
Journal Article
Circuits, systems, and signal processing, ISSN 1531-5878, 2015, Volume 35, Issue 5, pp. 1611 - 1624
Journal Article
International journal of communication systems, ISSN 1074-5351, 2017, Volume 30, Issue 8, pp. e3181 - n/a
Summary Sparse least‐mean mixed‐norm (LMMN) algorithms are developed to improve the estimation performance for sparse channel estimation applications. Both the... 
sparse channel estimation | zero attracting | LMS | adaptive filter | LMF | least‐mean mixed‐norm | least-mean mixed-norm | TELECOMMUNICATIONS | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms | Broadband | Least mean squares | Mathematical analysis | Adaptive filters | Least mean squares algorithm | Channels | Convergence
Journal Article
EURASIP Journal on Advances in Signal Processing, ISSN 1687-6172, 12/2018, Volume 2018, Issue 1, pp. 1 - 13
Journal Article
Signal Processing, ISSN 0165-1684, 11/2016, Volume 128, pp. 243 - 251
A type of norm-adaption penalized least mean square/fourth (NA-LMS/F) algorithm is proposed for sparse channel estimation applications. The proposed NA-LMS/F... 
Least mean square/fourth | Adaptive filter | Sparse channel estimation | Zero attracting | Norm-adaption penalty | CONVERGENCE | P-NORM | CONSTRAINT LMS ALGORITHM | ENGINEERING, ELECTRICAL & ELECTRONIC | RNA | Algorithms | Computer simulation | Least mean squares | Least mean squares algorithm | Norms | Signal processing | Channels | Convergence
Journal Article
by Fuxi Wen and Wei Liu
2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 10/2015, pp. 252 - 256
.... To improve the robustness to such cases and reduce the communication and computational complexity of sensor networks, a zero-attracting adaptive combination strategy... 
Adaptive systems | zero attracting | Least squares approximations | distributed adaptive algorithm | Signal processing algorithms | Estimation | Robustness | least mean square | Noise measurement | Signal to noise ratio
Conference Proceeding
2013 9th International Conference on Information, Communications & Signal Processing, 12/2013, pp. 1 - 5
Conference Proceeding
Entropy, ISSN 1099-4300, 08/2017, Volume 19, Issue 8, p. 432
Journal Article
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 04/2015, Volume 2015-, pp. 604 - 608
Conference Proceeding
2017 2nd International Conference on Image, Vision and Computing (ICIVC), 06/2017, pp. 1128 - 1132
A reweighted zero-attracting/repelling least-mean-squares (LMS) algorithm is proposed in this paper for sparse system identification, which attracts zero and near-zero coefficients towards zero, and repels large coefficients against zero... 
sparse system identification | least mean squares | zero-repelling | l 1 -norm constraint | zero-attracting | Sparse system identification | norm constraint | Least mean squares | Zero-repelling | Zero-attracting
Conference Proceeding
by Yim, S
International Journal of Automotive Technology, ISSN 1229-9138, 4/2017, Volume 18, Issue 2, pp. 271 - 277
Journal Article
EURASIP Journal on Advances in Signal Processing, ISSN 1687-6172, 12/2014, Volume 2014, Issue 1, pp. 1 - 10
Journal Article
2013 Asilomar Conference on Signals, Systems and Computers, ISSN 1058-6393, 11/2013, pp. 1524 - 1528
This paper proposes a new variable step-size (VSS) scheme for the recently introduced zero-point attracting projection (ZAP) algorithm... 
Least squares approximations | zero-point attracting projection | Current measurement | adaptive filter | Adaptive filters | Signal processing algorithms | Variable step-size | Filtering algorithms | Dispersion | Convergence
Conference Proceeding
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