A Perspective on Stereophonic Acoustic Echo Cancellation

Buch | Hardcover
VI, 139 Seiten
2011 | 2011
Springer Berlin (Verlag)
978-3-642-22573-4 (ISBN)
106,99 inkl. MwSt
Single-channel hands-free teleconferencing systems are becoming popular. In order to enhance the communication quality of these systems, more and more stereophonic sound devices with two loudspeakers and two microphones are deployed. Because of the coupling between loudspeakers and microphones, there may be strong echoes, which make real-time communication very difficult. The best way we know to cancel these echoes is via a stereo acoustic echo canceller (SAEC), which can be modelled as a two-input/two-output system with real random variables. In this work, the authors recast this problem into a single-input/single-output system with complex random variables thanks to the widely linear model. From this new convenient formulation, thay re-derive the most important aspects of a SAEC, including identification of the echo paths with adaptive filters, double-talk detection, and suppression.

Introduction.- Problem Formulation.- System Identification with the Wiener Filter.- A Class of Stochastic Adaptive Filters.- A Class of Affine Projection Algorithms.- Recursive Least-Squares Algorithms.- Double-Talk Detection.- Echo and Noise Suppression as a Binaural Noise Reduction Problem.- Experimental Study.

Erscheint lt. Verlag 25.7.2011
Reihe/Serie Springer Topics in Signal Processing
Zusatzinfo VI, 139 p.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 362 g
Themenwelt Technik Elektrotechnik / Energietechnik
Schlagworte double-talk detection • FRLS fast recursive least-squrares • FRLS fast recursive least-squrares • IPNLMS improved proportionate normalized least-mea • IPNLMS improved proportionate normalized least-mean-square • Nachrichtentechnik • PAPA proportionate affine projection algorithm • RLS recursive least-squares • stereophonic acoustic echo cancellation • suppression • VSS-NLMS variable step size normalized least-mean- • VSS-NLMS variable step size normalized least-mean-square • widely linear model • Wiener Filter
ISBN-10 3-642-22573-X / 364222573X
ISBN-13 978-3-642-22573-4 / 9783642225734
Zustand Neuware
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