Convex Combination of Maximum Versoria Criterion-Based Adaptive Filtering Algorithm for Impulsive Environment-Reference-Cited by-同舟云学术

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Convex Combination of Maximum Versoria Criterion-Based Adaptive Filtering Algorithm for Impulsive Environment

Published:2021 Issue: Volume: Page:157-165
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Radhika S.,Chandrasekar A.,Rajalakshmi K. Ishwarya

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-33-6977-1_13

Reference10 articles.

1. S.S. Haykin, Adaptive Filter Theory (Pearson Education, India, 2008).

2. S. Radhika, A. Sivabalan, Steady-state analysis of sparsity-aware affine projection sign algorithm for impulsive environment. Circ. Syst. Signal Process. 1–14 (2016)

3. E. Walach, B. Widrow, The least mean fourth (LMF) adaptive algorithm and its family. IEEE Trans. Inf. Theory 30(2), 275–283 (1984)

4. B. Chen et al., Steady-state mean-square error analysis for adaptive filtering under the maximum correntropy criterion. IEEE Signal Process. Lett. 21(7), 880–884 (2014)

5. S. Radhika, A. Sivabalan, Variable step size maximum correntropy criteria based adaptive filtering algorithm. Eng. Technol. Appl. Sci. Res. 6(2), 923–926 (2016)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimization Method of Database Memory Sorting for Software and Hardware Application Integration;Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering;2023-10-20

2. Proportionate Maximum Versoria Criterion based Adaptive Algorithm for Sparse System Identification;IEEE Transactions on Circuits and Systems II: Express Briefs;2021

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