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Signal Processing, ISSN 0165-1684, 11/2016, Volume 128, pp. 243 - 251
Journal Article
Mechanical Systems and Signal Processing, ISSN 0888-3270, 04/2019, Volume 120, pp. 69 - 82
•The filtered-x least mean square/fourth (FXLMS/F) algorithm for active noise control.•A convex combination of the FXLMS/F algorithm (C-FXLMS/F) for active... 
Convex combination | Least mean square/fourth | Adaptive filtering | Active noise control | LMS ALGORITHM | AFFINE PROJECTION ALGORITHM | ADAPTIVE COMBINATION | CONTROL SYSTEM | ENGINEERING, MECHANICAL | VARIABLE TAP-LENGTH | Mean square values | Algorithms | Computer simulation | Noise reduction | Stability analysis | Noise control | Active control | Convergence
Journal Article
International Journal of Adaptive Control and Signal Processing, ISSN 0890-6327, 11/2018, Volume 32, Issue 11, pp. 1644 - 1654
Journal Article
Gaojishu Tongxin/Chinese High Technology Letters, ISSN 1002-0470, 09/2018, Volume 28, Issue 9-10, pp. 852 - 860
Journal Article
2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), ISSN 2166-9570, 09/2013, pp. 296 - 300
Conference Proceeding
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, ISSN 1063-8210, 09/2017, Volume 25, Issue 9, pp. 2588 - 2601
Journal Article
Wireless Communications and Mobile Computing, ISSN 1530-8669, 08/2015, Volume 15, Issue 12, pp. 1649 - 1658
Journal Article
2014 IEEE/CIC International Conference on Communications in China (ICCC), ISSN 2377-8644, 10/2014, pp. 370 - 374
Conference Proceeding
International Journal of Communication Systems, ISSN 1074-5351, 05/2017, Volume 30, Issue 8, pp. np - 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 | CRITERION | TELECOMMUNICATIONS | SQUARES | SYSTEM-IDENTIFICATION | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms | Broadband | Least mean squares | Mathematical analysis | Adaptive filters | Least mean squares algorithm | Channels | Convergence
Journal Article
Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers, ISSN 1058-6393, 1996, pp. 1191 - 1194 vol.2
This article presents a novel algorithm for echo cancellers with near-end and far-end sections. The algorithm consists of simultaneously applying the least... 
Additive noise | Echo cancellers | Computational modeling | Adaptive filters | Cost function | Noise cancellation | System identification | Least squares approximation | Physics | Convergence
Conference Proceeding
EURASIP Journal on Wireless Communications and Networking, ISSN 1687-1472, 12/2013, Volume 2013, Issue 1, pp. 1 - 18
Journal Article
2016 24th European Signal Processing Conference (EUSIPCO), ISSN 2219-5491, 08/2016, Volume 2016-, pp. 2380 - 2384
A sparsity-aware least-mean mixed-norm (LMMN) adaptive filter algorithm is proposed for sparse channel estimation applications. The proposed algorithm is... 
LMS | Signal processing algorithms | Channel estimation | Estimation | Europe | sparse channel estimation | Cost function | sparse adaptive filtering | LMS/F | Steady-state | least-mean mixed-norm | Convergence | Sparse adaptive filtering | Least-mean mixed-norm | Sparse channel estimation
Conference Proceeding
Scientific World Journal, ISSN 2356-6140, 2014, Volume 2014, pp. 274897 - 10
Channel estimation problem is one of the key technical issues in sparse frequency-selective fading multiple-input multiple-output (MIMO) communication systems... 
MULTIDISCIPLINARY SCIENCES | TIME | Least-Squares Analysis | Wireless Technology | Algorithms | Usage | Models | MIMO communications | Accuracy | Fourier transforms | Mean square errors | Estimating techniques | Methods
Journal Article
Circuits, Systems, and Signal Processing, ISSN 0278-081X, 09/2017, Volume 36, Issue 9, pp. 3864 - 3873
This paper proposes a bias-compensated normalized least-mean fourth (NLMF) algorithm to compensate for the bias caused by noisy input. In the proposed... 
Normalized least-mean fourth (NLMF) | System identification | Noisy input | AFFINE PROJECTION ALGORITHM | STABILITY | NLMS ALGORITHM | CONSTRAINT | SUBBAND ADAPTIVE FILTER | ENGINEERING, ELECTRICAL & ELECTRONIC | Electrical engineering | Algorithms | Computer simulation | Misalignment | Compensation | Bias
Journal Article
International Journal of Communication Systems, ISSN 1074-5351, 01/2015, Volume 28, Issue 1, pp. 38 - 48
Journal Article
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