Performance Analysis and Enhancement of Spline Adaptive Filtering based on Adaptive Step-size Variable Leaky Least Mean Square Algorithm
Author:
Publisher
ASTES Journal
Subject
Management of Technology and Innovation,Physics and Astronomy (miscellaneous),Engineering (miscellaneous)
Link
https://www.astesj.com/publications/ASTESJ_050678.pdf
Reference25 articles.
1. A. Saengmuang, S. Sitjongsataporn, "Spline Adaptive Filtering based on Vari- able Leaky Least Mean Square Algorithm," in Proc. IEEE International Elec- trical Engineering Congress (iEECON), Chiang Mai, Thailand, 2020.
2. C. Liu, Z. Zhang, X. Tang, "Sign Normalised Spline Adaptive Filtering Al- gorithms Against Impulsive Noise", Signal Processing, 148, 234-240, 2018, doi:10.1016/j.sigpro.2018.02.022.
3. M. Scarpiniti, D. Comminiello, R. Parisi, A. Uncini, "Nonlinear spline adaptive filtering," Signal Processing, 93(4), 772-783, 2013, doi:10.1016/j.sigpro.2012.09.021.
4. A. Saengmuang, S. Sitjongsataporn, "Convergence and Stability Analysis of Spline Adaptive Filtering based on Adaptive Averaging Step-size Normalized Least Mean Square Algorithm ", International Journal of Intelligent Engineer- ing and Systems, 13(2), 267-277, 2020, doi:10.22266/ijies2020.0430.26.
5. M. Scarpiniti, D. Comminiello, G. Scarano, R. Parisi, A. Uncini, "Steady- State Performance of Spline Adaptive Filters", IEEE Transactions on Signal Processing, 64(4), 816-828, 2015, doi:10.1109/TSP.2015.2493986.
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