An Improved Adaptive Filtering Algorithm for Non-Sparse Impulse Response

  • Songlin Sun
  • Xiao Xia
  • Chenglin Zhao
  • Yanhong Ju
  • Yueming Lu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 202)

Abstract

An algorithm to improve the convergence performance of the improved μ-law PNLMS algorithm (IMPNLMS) for non-sparse impulse responses is proposed in this chapter. In this algorithm, an adaptive parameter μ of the μ-law compression for sparse impulse response is incorporated into the IMPNLMS algorithm. Compared with IMPNLMS algorithm, simulation results demonstrate that the proposed algorithm has better convergence performance.

Keywords

Adaptive filtering IMPNLMS algorithm Non-sparse impulse response 

Notes

Acknowledgments

This work is supported by National High Technology Research and Development Program of China (No. 2011AA01A204), Beijing University of Posts and Telecommunications Research and Innovation Fund for Youths.

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Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • Songlin Sun
    • 1
  • Xiao Xia
    • 1
  • Chenglin Zhao
    • 2
  • Yanhong Ju
    • 1
  • Yueming Lu
    • 1
  1. 1.School of Information and Communication Engineering, Key Laboratory of Trustworthy Distributed Computing and Service (BUPT)Ministry of Education, Beijing University of Posts and TelecommunicationsBeijingChina
  2. 2.School of Information and Communication EngineeringBeijing University of Posts and TelecommunicationsBeijingChina

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