Zerguine, A., Ulla Faiz, M. and Zidouri, A. 2011. Analysis of the sign regressor least mean fourth adaptive algorithm. EURASIP Journal on Advances in Signal Processing. 2011 373205. https://doi.org/10.1155/2011/373205
| Title | Analysis of the sign regressor least mean fourth adaptive algorithm |
|---|---|
| Type | Journal article |
| Authors | Zerguine, A., Ulla Faiz, M. and Zidouri, A. |
| Abstract | A novel algorithm, called the signed regressor least mean fourth (SRLMF) adaptive algorithm, that reduces the computational cost and complexity while maintaining good performance is presented. Expressions are derived for the steady-state excess-mean-square error (EMSE) of the SRLMF algorithm in a stationary environment. A sufficient condition for the convergence in the mean of the SRLMF algorithm is derived. Also, expressions are obtained for the tracking EMSE of the SRLMF algorithm in a nonstationary environment, and consequently an optimum value of the step-size is obtained. Moreover, the weighted variance relation has been extended in order to derive expressions for the mean-square error (MSE) and the mean-square deviation (MSD) of the proposed algorithm during the transient phase. Computer simulations are carried out to corroborate the theoretical findings. It is shown that there is a good match between the theoretical and simulated results. It is also shown that the SRLMF algorithm has no performance degradation when compared with the least mean fourth (LMF) algorithm. The results in this study emphasize the usefulness of this algorithm in applications requiring reduced implementation costs for which the LMF algorithm is too complex. |
| Article number | 373205 |
| Journal | EURASIP Journal on Advances in Signal Processing |
| Journal citation | 2011 |
| ISSN | 1687-6172 |
| Year | 2011 |
| Publisher | Springer |
| Publisher's version | License CC BY File Access Level Open (open metadata and files) |
| Digital Object Identifier (DOI) | https://doi.org/10.1155/2011/373205 |
| Publication dates | |
| Published | 2011 |
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Permalink - https://westminsterresearch.westminster.ac.uk/item/w0253/analysis-of-the-sign-regressor-least-mean-fourth-adaptive-algorithm
Analysis of the complex sign regressor least mean fourth adaptive algorithm
Ulla Faiz, M. and Zerguine, A. 2011. Analysis of the complex sign regressor least mean fourth adaptive algorithm. 2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA). Kuala Lumpur, Malaysia 16 - 18 Nov 2011 IEEE . https://doi.org/10.1109/icsipa.2011.6144115
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The 𝜖-normalized sign regressor least mean fourth (NSRLMF) adaptive algorithm
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Ulla Faiz, M. and Zerguine, A. 2012. Convergence analysis of the epsilon NSRLMMN algorithm. 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO). Bucharest, Romania 27 - 31 Aug 2012 IEEE .
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Ulla Faiz, M. and Zerguine, A. 2018. Steady-state and tracking analysis of the SSLMS algorithm. 2018 15th International Multi-Conference on Systems, Signals & Devices (SSD). Yasmine Hammamet, Tunisia 19 - 22 Mar 2018 IEEE . https://doi.org/10.1109/ssd.2018.8570395
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Comments on "Efficient Signal Conditioning Techniques for Brain Activity in Remote Health Monitoring Network"
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The ε-normalized sign regressor least mean square (NSRLMS) adaptive algorithm
Ulla Faiz, M. and Zerguine, A. 2011. The ε-normalized sign regressor least mean square (NSRLMS) adaptive algorithm. 2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA). Kuala Lumpur, Malaysia 16 - 18 Nov 2011 IEEE . https://doi.org/10.1109/icsipa.2011.6144114
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A steady-state analysis of the ε-normalized sign-error least mean square (NSLMS) adaptive algorithm
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Tracking MSE performance analysis of the ∈-NSLMS algorithm
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Analysis and Evaluation of the Family of Sign Adaptive Algorithms
Ulla Faiz, Mohammed 2022. Analysis and Evaluation of the Family of Sign Adaptive Algorithms. PhD thesis University of Westminster Computer Science and Engineering https://doi.org/10.34737/w0v8q