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algorithms (10) 10
engineering, electrical & electronic (8) 8
zero attracting (8) 8
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adaptive filters (5) 5
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[info.info-ts]computer science [cs]/signal and image processing (1) 1
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IEEE signal processing letters, ISSN 1558-2361, 2016, Volume 23, Issue 12, pp. 1786 - 1790
Journal Article
2013 19th Asia-Pacific Conference on Communications (APCC), ISSN 2163-0771, 08/2013, pp. 649 - 654
Conference Proceeding
2014 IEEE/CIC International Conference on Communications in China (ICCC), ISSN 2377-8644, 10/2014, pp. 370 - 374
Conference Proceeding
Signal Processing, ISSN 0165-1684, 12/2010, Volume 90, Issue 12, pp. 3289 - 3293
The zero-attracting LMS (ZA-LMS) algorithm is one of the recently published sparse LMS algorithms... 
Sparsity | Least mean square (LMS) algorithm | Mean square deviation (MSD) | Zero attracting | norm
Journal Article
by Shi, K and Shi, P
SIGNAL PROCESSING, ISSN 0165-1684, 12/2010, Volume 90, Issue 12, pp. 3289 - 3293
The zero-attracting LMS (ZA-LMS) algorithm is one of the recently published sparse LMS algorithms. It usesan l(1... 
l norm | Sparsity | Zero attracting | Mean square deviation (MSD) | Least mean square (LMS) algorithm | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Signal Processing, ISSN 0165-1684, 2010, Volume 90, Issue 12, pp. 3289 - 3293
The zero-attracting LMS (ZA-LMS) algorithm is one of the recently published sparse LMS algorithms... 
l1 norm | Sparsity | Zero attracting | Mean square deviation (MSD) | Least mean square (LMS) algorithm
Journal Article
International journal of communication systems, ISSN 1074-5351, 2017, Volume 30, Issue 8, pp. e3181 - n/a
.... Both the benefits of the least mean fourth and least mean square algorithms are utilized to exploit a type of sparse LMMN algorithms... 
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
2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT), 08/2016, pp. 208 - 213
...) such as zero-attracting (ZA) least mean square (ZA-LMS) and reweighting ZA-LMS (RZA-LMS) algorithms. However, these sparse LMS algorithms are usually sensitive to the scaling of their input signal... 
Wireless communication | NLMS | Wireless sensor networks | compressed sensing | Channel estimation | Estimation | Broadband communication | Complexity theory | variable step-size | Adaptive SCE | zero-attracting | Convergence
Conference Proceeding
Symmetry (Basel), ISSN 2073-8994, 2017, Volume 9, Issue 8, p. 133
Journal Article
Signal, image and video processing, ISSN 1863-1711, 2016, Volume 11, Issue 3, pp. 533 - 540
Journal Article
Entropy, ISSN 1099-4300, 08/2017, Volume 19, Issue 8, p. 432
A group-constrained maximum correntropy criterion (GC-MCC) algorithm is proposed on the basis of the compressive sensing (CS) concept and zero attracting (ZA)... 
Norm penalties | SparseMCC algorithms | Zero-attracting technique | Mixed noise environment | LMS | PHYSICS, MULTIDISCIPLINARY | INFORMATION | NORM | CONVERGENCE | sparse MCC algorithms | norm penalties | mixed noise environment | zero-attracting technique | Attraction | Algorithms | Criteria | Computer simulation | Estimation | Channels
Journal Article
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, 12/2018, Volume 2018, Issue 1, pp. 1 - 13
Journal Article
Circuits, systems, and signal processing, ISSN 1531-5878, 2015, Volume 35, Issue 5, pp. 1611 - 1624
Journal Article
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