Read e-book online Advances in Network and Acoustic Echo Cancellation PDF

By Jacob Benesty, Tomas Gänsler, Dennis R. Morgan, M. Mohan Sondhi, Steven L. Gay (auth.)

ISBN-10: 364207507X

ISBN-13: 9783642075070

ISBN-10: 3662044374

ISBN-13: 9783662044377

This booklet brings jointly many complicated issues in community and acoustic echo cancellation that are aimed in the direction of improving the echo cancellation functionality of next-generation telecommunication platforms. the overall topic nature pertains to algorithms with elevated convergence pace, more suitable detection of double-talk from near-end speech, powerful immunity to undetected double-talk, elevated computational potency, and multi-channel strength. The ensuing compendium offers a coherent remedy of such subject matters now not came upon in a different way in journals or different books. The chapters are comparable with a typical terminology, yet nonetheless will be learn independently.

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Extra info for Advances in Network and Acoustic Echo Cancellation

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1. Block diagram of the echo canceler, double-talk detector (DTD), and echo path h = [ho' .. hL-1f , True echo path vector, h(n) = [ho(n) ... hL_1(n)]T , Estimated echo path vector, e(n) = ,T y(n) - h (n - l)x(n) , Residual error, e(n) = y(n) - XT(n)h(n - 1) , Residual error vector, em (n) = mth element of the vector e( n) . Here, L is the adaptive filter length and M is the projection order of the affine projection algorithm. The purpose of the adaptive filter is to estimate the echo path so that it can subtract a replica of the returned echo, Ye(n) = h T x(n); see Fig.

The overall system misalignment is dominated by the truncation effect until it reaches a certain level. For smaller misalignment, the truncation errors of the subband cancelers have little impact and the misalignment of the whole system is determined mainly by the aliasing caused by the finite stopband attenuation of the analysis filter. The reason for this becomes obvious from the following consideration of the spectral distribution of the truncation error. If only a sm all number of coefficients is used to approximate the response of the ideal subband canceler, the truncation will cause more or less uniformly distributed deviations from the ideal frequency response of the subband canceler.

124], [67], is that less apriori information is needed. Furthermore, the active regions of the echo path do not have to be detected explicitly. Another interesting idea for step-size control is presented in [64]. The basic PNLMS algorithm is described by the following equations: .. h(n) = h(n -1) ~ + xT(n)G(n)x(n) + t5G(n)x(n)e(n) G(n) = diag{90(n) ... 9L-l(n)} . 3) Here G(n) is a diagonal matrix that adjusts the step sizes of the individual taps of the filter. The diagonal elements of G(n) are calculated as [38] e max{t5p , Iho(n)l, ...

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Advances in Network and Acoustic Echo Cancellation by Jacob Benesty, Tomas Gänsler, Dennis R. Morgan, M. Mohan Sondhi, Steven L. Gay (auth.)


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