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A Perspective on Stereophonic Acoustic Echo Cancellation / by Jacob Benesty, Constantin Paleologu, Tomas Gänsler, Silviu Ciochin?.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Springer Topics in Signal Processing ; 4Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: vI, 139 páginas recurso en líneaTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9783642225741
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • TK5102.9
Recursos en línea:
Contenidos:
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.
Resumen: 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, they re-derive the most important aspects of a SAEC, including identification of the echo paths with adaptive filters, double-talk detection, and suppression.
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Springer eBooks

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.

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, they re-derive the most important aspects of a SAEC, including identification of the echo paths with adaptive filters, double-talk detection, and suppression.

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