![]() A novel tap selection scheme is proposed which overcomes these limitations by exploiting signal sparsity while not ignoring any filters for update in the different subbands and channels. A thorough analysis of different state-of-the-art tap selection schemes is performed and insights about their limitations are gained. The potential for exploiting signal sparsity across three dimensions, namely time, frequency, and channels, is analyzed. In particular, we investigate tap selection schemes which exploit the sparsity present in the loudspeaker channels for partially updating subband AEC filters. In order to reduce the computational complexity, the approach of partially updating the AEC filters is considered in this paper. In applications involving surround sound, the computational complexity of an AEC system may become demanding due to the multiple loudspeaker channels and the necessity of using long filters in reverberant environments. AEC systems employ adaptive filters to estimate the acoustic echo paths between the loudspeakers and the microphone(s). Acoustic echo cancellation (AEC) is a key speech enhancement technology in speech communication and voice-enabled devices.
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