적응 알고리즘을 이용한 Double-Talk 반향 제거

Double-Talk Echo Cancellation using Adaptive Algorithm

  • 발행 : 2001.07.18

초록

In the double-talk situation where both the near-end and far-end signal present, the performance of echo cancellation using the conventional LMS algorithm is degraded easily since it freezes the adaptation in this situation. Recently CLMS and ECLMS algorithm were proposed to solve this problem. These algorithms could be used to adapt the filter's parameters continuously even in the double-talk situation. In this paper, we compare and analyze their performance. The computer simulation was performed and the results showed as that both algorithms were robust and kept the desirable performance even in the double-talk situation.

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