A fast running FIR Filter structure reducing computational complexity

  • Lee, Jae-Kyun (Computer and Communication Engineering Department, Daegu University) ;
  • Lee, Chae-Wook (Electronic Engineering Department, Daegu University)
  • Published : 2005.11.25

Abstract

In this paper, we propose a new fast running FIR filter structure that improves the convergence speed of adaptive signal processing and reduces the computational complexity. The proposed filter is applied to wavelet based adaptive algorithm. Actually we compared the performance of the proposed algorithm with other algorithm using computer simulation of adaptive noise canceler based on synthesis speech. As the result, We know the proposed algorithm is prefer than the existent algorithm.

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