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Signal Processing, ISSN 0165-1684, 11/2016, Volume 128, pp. 243 - 251
Journal Article
International Journal of Communication Systems, ISSN 1074-5351, 12/2019, Volume 32, Issue 18, pp. e4167 - n/a
Summary This paper proposes a novel proportionate normalized least‐mean‐squares (PNLMS) algorithm that is robust to input noises. Through compensating for... 
proportionate normalized least‐mean‐squares (PNLMS) | input noise | adaptive filter | noisy input | bias | sparse system | proportionate normalized least-mean-squares (PNLMS) | TELECOMMUNICATIONS | ENGINEERING, ELECTRICAL & ELECTRONIC | Performance degradation | Algorithms | System identification
Journal Article
IEEE Access, ISSN 2169-3536, 2018, Volume 6, pp. 47794 - 47803
Journal Article
IEEE Transactions on Circuits and Systems II: Express Briefs, ISSN 1549-7747, 11/2019, pp. 1 - 1
The recently proposed Zero-Attracting Proportionate Normalized Least Mean Square (ZA-PNLMS) algorithm improves the performance of the PNLMS algorithm for... 
Sparse adaptive filters | steady-state performance | PNLMS Algorithm | mean-square error
Journal Article
Circuits, Systems, and Signal Processing, ISSN 0278-081X, 12/2019, Volume 38, Issue 12, pp. 5651 - 5664
Journal Article
IEEE Transactions on Circuits and Systems II: Express Briefs, ISSN 1549-7747, 11/2018, Volume 65, Issue 11, pp. 1793 - 1797
Journal Article
Applied Acoustics, ISSN 0003-682X, 01/2016, Volume 101, pp. 122 - 126
Acoustic impulse response functions are generally sparse in nature and traditionally these are modeled by adaptive finite impulse response (FIR) filters... 
System identification | Sparse model | Robust least mean square algorithm | Hearing aid | Acoustic path | ACOUSTICS | LMS | PNLMS ALGORITHM | DIFFUSION | IDENTIFICATION | Analysis | Models | Algorithms | Electrical engineering | Sensors
Journal Article
Entropy, ISSN 1099-4300, 2015, Volume 17, Issue 9, pp. 5995 - 6006
Sparse system identification has received a great deal of attention due to its broad applicability. The proportionate normalized least mean square (PNLMS)... 
PMEE | Sparse system identification | Impulsive noise | PNLMS | sparse system identification | CONVERGENCE | impulsive noise | PHYSICS, MULTIDISCIPLINARY | Errors | Mean square values | Algorithms | Least mean squares algorithm | Entropy | System identification | Criteria | Convergence
Journal Article
IEEE Transactions on Circuits and Systems I: Regular Papers, ISSN 1549-8328, 05/2014, Volume 61, Issue 5, pp. 1499 - 1507
Journal Article
IEEE Transactions on Circuits and Systems II: Express Briefs, ISSN 1549-7747, 05/2015, Volume 62, Issue 5, pp. 491 - 495
Journal Article
IEEE/ACM Transactions on Audio, Speech, and Language Processing, ISSN 2329-9290, 07/2016, Volume 24, Issue 7, pp. 1280 - 1290
The proportionate normalized least mean square (PNLMS) algorithm and its variants are by far the most popular adaptive filters that are used to identify sparse... 
Algorithm design and analysis | mean square deviation (MSD) | Sparse systems | PNLMS Algorithm | Cost function | Speech | Steady-state | Mathematical model | zero attractors | Convergence | IEEE transactions | variable step size | sparse systems | PNLMS algorithm | Mean square deviation (MSD)
Journal Article
Symmetry, ISSN 2073-8994, 12/2018, Volume 10, Issue 12, p. 683
Journal Article
by Jin, Z and Li, YS and Liu, JM
SYMMETRY-BASEL, ISSN 2073-8994, 03/2018, Volume 10, Issue 3, p. 75
In this paper, an improved set-membership proportionate normalized least mean square (SM-PNLMS) algorithm is proposed for block-sparse systems. The proposed... 
block-sparse system | LMS ALGORITHM | RECOVERY | set-membership principle | MULTIDISCIPLINARY SCIENCES | SIGNALS | PNLMS algorithm | Adaptive systems | Algorithms | Computer simulation | Echo surveys | Adaptive algorithms
Journal Article
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