Efficient Low Frequency Echo Cancellation Using Sparse Adaptive FIR Filters
It is shown how finite impulse response (FIR) filtering and filter adaptation can be implemented with reduced computational complexity when applied to signals containing only low frequencies. A sparse adaptive filter (with only every Mth coefficient being non-zero) with reduced adaptation rate achieves a similar result as a conventional adaptive filter but with lower computational complexity. An echo control scheme based on a sparse adaptive filter is described. Low frequency echoes are cancelled followed by echo suppression over all frequencies.
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