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A new forced LMS-based adaptive algorithm utilizing the principle of potential energy

  • Published:2000-08 Issue:5 Volume:337 Page:515-542
  • ISSN:0016-0032
  • Container-title:Journal of the Franklin Institute
  • language:en
  • Short-container-title:Journal of the Franklin Institute

Author:

Haddad T.F.,Khasawneh M.A.

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference20 articles.

1. Adaptive Signal Processing;Widrow,1985

2. A variable step (VS) adaptive filter algorithm;Harris;IEEE Trans. Acoust. Speech Signal Process.,1986

3. A stochastic gradient adaptive step size;Mathews;IEEE Trans. Signal Process.,1993

4. Improved convergence analysis of stochastic gradient adaptive filter using the sign algorithm;Mathews;IEEE Trans. Acoust. Speech Signal Process.,1987

5. Adaptive Signal Processing: Theory and Applications;Alexandar,1986

Cited by 4 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. Fast LMS-based Compound Algorithm for Modelling Long Memory Filters with Colored Signal;2022 International Conference on Intelligent Systems and Computational Intelligence (ICISCI);2022-10-15

2. Adaptive FIR Filtering Using ABC Algorithm: a Noise Reduction Application on Mitral Valve Doppler Signal;Elektronika ir Elektrotechnika;2018-10-16

3. A self-tuning hybrid active noise control system;Journal of the Franklin Institute;2012-06

4. New adaptive modeling algorithms utilizing the dynamics of multidegree-of-freedom system;IEEE Signal Processing Letters;2005-07
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