Adaptive step-size NCLMS algorithm for double-talk echo canceling

In systems, such as hands-free mobile telephony, voice over internet protocol (VoIP), voice control, hearing aids, public address and teleconferencing, we are still faced with echo problem. Adaptive digital filters have been vastly used for the echo canceling by estimating the reverberation room impulse response. When a strength near-end talker (NET) signal exists, the adaptation process of the conventional algorithms misleads. In this paper, based on the correlation functions, we introduce a new algorithm named as adaptive step-size normalized correlation-based least mean square (ASNCLMS) algorithm, which is robust even in the presence of NET signal. This algorithm does not freeze the adaptation process during double-talk (DT) mode. Computer simulations, which prove the robustness of this algorithm, are also presented.

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