A filter proportionate LMS algorithm based on the arctangent framework for sparse system identification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-023-02729-2.pdf
Reference27 articles.
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2. Yu, Y., Yang, T., Chen, H., Lamare, R.C.D., Li, Y.: Sparsity-aware SSAF algorithm with individual weighting factors: performance analysis and improvements in acoustic echo cancellation. Signal Process. 178, 107806 (2021)
3. He, R., Ai, B., Wang, G., Yang, M., Huang, C., Zhong, Z.: Wireless channel sparsity: measurement, analysis, and exploitation in estimation. IEEE Wirel. Commun. 28(4), 113–119 (2021)
4. Haykin, S.O.: Adaptive Filter Theory, 4th edn. Prentice-Hall, Upper Saddle River (2002)
5. Patnaik, A., Nanda, S.: The variable step-size LMS/F algorithm using nonparametric method for adaptive system identification. Int. J. Adapt. Control Signal Process. 34(12), 1799–1811 (2020)
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