Technique to Adjust Adaptive Digital Filter Coefficients in Residue Number System Based Filters
The paper discusses adaptive filtering using Least Mean Square (LMS) and Recursive Least Square (RLS) algorithms. An algorithm for adjusting the coefficients of an adaptive digital filter in the Residue Number System and a procedure of developed algorithm applying depending on filter length and sign...
Main Authors: | Dmitrii Kaplun, Alexander Voznesensky, Alexander V. Veligosha, Igor A. Kalmykov, Kandarpa Kumar Sarma |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9446075/ |
Similar Items
-
Tensor-Based Adaptive Filtering Algorithms
by: Laura-Maria Dogariu, et al.
Published: (2021-03-01) -
Noise Reduction in RTL-SDR using Least Mean Square and Recursive Least Square
by: Aviv Yuniar Rahman, et al.
Published: (2020-04-01) -
Uni-Cycle Genetic Algorithm as an Adaptation Engine for Wireless Channel Equalizers
by: Mohammed J. Khafaji, et al.
Published: (2022-01-01) -
Speech Enhancement by Modified Convex Combination of Fractional Adaptive Filtering
by: M. Geravanchizadeh, et al.
Published: (2014-12-01) -
Least Mean Squares and Recursive Least Squares Algorithms for Total Harmonic Distortion Reduction Using Shunt Active Power Filter Control
by: Radek Martinek, et al.
Published: (2019-04-01)