吉林大学学报(工学版) ›› 2004, Vol. ›› Issue (4): 644-651.

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Adaptive echo cancellation and noise reduction algorithm

MENG Shuyan, ZHAO Xiaohui, GU Haijun   

  1. College of Communication Engineering, Jilin University, Changchun 130012, China
  • Received:2004-04-12 Online:2004-10-01

Abstract: Echo and noise severely impacts communication quality in communications systems. By using spectral subtraction method with voice activity detection (VAD) technique and affine projection algorithm (APA) with double talk detector (DTD), an acoustic echo and noise canceller (AENC) was proposed. Simulation results show that the proposed AENC method can efficiently reduce noise, possesses high echo parameter estimation accuracy in fast convergent speed and accurate double talk detection, and distinguishes double-talk and echo path change with robustness.

Key words: communication technology, noise reduction, adaptive echo cancellation, communication quality

CLC Number: 

  • TN911
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