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2021
DOI: 10.1007/s11042-020-10230-y
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A frequency-domain nonlinear echo processing algorithm for high quality hands-free voice communication devices

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Cited by 2 publications
(1 citation statement)
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“…The central concepts of these algorithms include the minimum mean square error criterion [ 6 ], affine projection [ 16 ], and various popular objective functions [ 35 ], e.g., least squares, weighted least squares, and mean absolute error. A real-time AEC algorithm based on variable step-size partitioned block frequency-domain adaptive filtering and frequency-domain nonlinear echo processing algorithm is proposed for hands-free voice communication devices [ 33 ].…”
Section: Audio Processing Issuesmentioning
confidence: 99%
“…The central concepts of these algorithms include the minimum mean square error criterion [ 6 ], affine projection [ 16 ], and various popular objective functions [ 35 ], e.g., least squares, weighted least squares, and mean absolute error. A real-time AEC algorithm based on variable step-size partitioned block frequency-domain adaptive filtering and frequency-domain nonlinear echo processing algorithm is proposed for hands-free voice communication devices [ 33 ].…”
Section: Audio Processing Issuesmentioning
confidence: 99%