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- W152038315 abstract "The use of hands free communication in cars, computer applications and video conferencing has created a demand for high quality acoustic echo cancellation. In these applications the acoustic channel has typically a long impulse response, and hence the tap length of LMS adaptive FIR filters are particularly long for acoustic echo cancellation. In order to reduce the complexity and also to improve the asymptotic performance, the method employed in this thesis includes the detection of the active FIR filter taps. I consider an active tap detection algorithm proposed for white signals. Usually, the signals (voice) in echo cancellation are highly correlated. To make the tap detection algorithm suitable I explore two different signal prewhitening schemes, an AR and an affine projection prewhitening scheme. The study shows that for coloured inputs modelled as an AR process, the active tap detection algorithm shows a definite asymptotic performance increase only when the prewhitening schemes are used." @default.
- W152038315 created "2016-06-24" @default.
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- W152038315 date "1999-01-01" @default.
- W152038315 modified "2023-09-27" @default.
- W152038315 title "Signal prewhitening schemes for detection-guided LMS estimates" @default.
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