Download PDF by Jacob Benesty, Constantin Paleologu, Tomas Gänsler, Silviu: A Perspective on Stereophonic Acoustic Echo Cancellation

By Jacob Benesty, Constantin Paleologu, Tomas Gänsler, Silviu Ciochină

ISBN-10: 364222573X

ISBN-13: 9783642225734

ISBN-10: 3642225748

ISBN-13: 9783642225741

Single-channel hands-free teleconferencing platforms have gotten renowned. with a purpose to improve the verbal exchange caliber of those platforms, a growing number of stereophonic sound units with loudspeakers and microphones are deployed. a result of coupling among loudspeakers and microphones, there's robust echoes, which make real-time conversation very tricky. the way in which we all know to cancel those echoes is through a stereo acoustic echo canceller (SAEC), which are modelled as a two-input/two-output procedure with actual random variables. during this paintings, the authors recast this challenge right into a single-input/single-output approach with complicated random variables due to the commonly linear version. From this new handy formula, they re-derive an important features of a SAEC, together with identity of the echo paths with adaptive filters, double-talk detection, and suppression.

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309–316, Apr. 1986. 8. R. H. Kwong and E. W. Johnston, “A variable step size LMS algorithm,” IEEE Trans. , vol. 40, pp. 1633–1642, July 1992. 48 4 A Class of Stochastic Adaptive Filters 9. V. J. Mathews and Z. Xie, “A stochastic gradient adaptive filter with gradient adaptive step size,” IEEE Trans. , vol. 41, pp. 2075–2087, June 1993. 10. J. B. Evans, P. Xue, and B. Liu, “Analysis and implementation of variable step size adaptive algorithms,” IEEE Trans. , vol. 41, pp. 2517–2535, Aug. 1993. 11.

73) is used, requiring 2P L complex multiplications for evaluating the matrix Xg (n). , it takes into account the “history” of the last P time samples. The classical PAPA does not take into account the “proportionate history” of each coefficient hl (n− 1), l = 0, 1, . . , gl (n − 1). 73). In this manner, we take into account the “proportionate history” of the coefficient hl (n − 1), in terms of its proportionate factors from the last P time samples. The advantage of this modification is twofold. First, the MPAPA takes into account the “history” of the proportionate factors from the last P steps.

IEEE ICASSP, 2003, pp. VI-361–VI-364. 11. M. S. Asif and J. Romberg, “Dynamic updating for 1 minimization,” IEEE J. Sel. , vol. 4, pp. 421–434, Apr. 2010. Chapter 4 A Class of Stochastic Adaptive Filters In this chapter, we derive, study, and analyze a class of stochastic adaptive filters for SAEC with the WL model. All developed algorithms try to converge to the optimal Wiener filter. We start with the classical stochastic gradient algorithm, which is a good approximation of the deterministic algorithm studied in the previous chapter.

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A Perspective on Stereophonic Acoustic Echo Cancellation by Jacob Benesty, Constantin Paleologu, Tomas Gänsler, Silviu Ciochină


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