A Perspective on Stereophonic Acoustic Echo Cancellation [recurso electrónico] / by Jacob Benesty, Constantin Paleologu, Tomas Gänsler, Silviu Ciochina.
Tipo de material: TextoSeries Springer Topics in Signal Processing ; 4Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: VI, 139 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642225741Tema(s): Engineering | Computer science | Fourier analysis | Engineering | Signal, Image and Speech Processing | User Interfaces and Human Computer Interaction | Fourier AnalysisFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 621.382 Clasificación LoC:TK5102.9TA1637-1638TK7882.S65Recursos en línea: Libro electrónicoTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | TK5102.9 (Browse shelf(Abre debajo)) | 1 | No para préstamo | 376510-2001 |
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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