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An New Variable Step Size LMS Adaptive Filtering Algorithm

Yan Qing-don

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Abstract

The LMS and VSS algorithm are introduced and analyzed. Then an improved algorithm gene is put forward. The improvement of this algorithm than the same step LMS and variable step size LMS on mean square error and convergence is demonstrated by the computer simulation. This algorithm provides a good resolving about the adaptive filtering algorithm.

About this research paper

What this paper is about

The LMS and VSS algorithm are introduced and analyzed. Then an improved algorithm gene is put forward. The improvement of this algorithm than the same step LMS and variable step size LMS on mean square error and convergence is demonstrated by the computer simulation. This algorithm provides a good resolving about the adaptive filtering algorithm.

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Available abstract

The LMS and VSS algorithm are introduced and analyzed. Then an improved algorithm gene is put forward. The improvement of this algorithm than the same step LMS and variable step size LMS on mean square error and convergence is demonstrated by the computer simulation. This algorithm provides a good resolving about the adaptive filtering algorithm.

Key concepts: Computer science, Least mean squares filter, Algorithm, Convergence (economics), Variable (mathematics), Adaptive filter, Adaptive algorithm, Rate of convergence

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