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A Perspective on Stereophonic Acoustic Echo Cancellation

Part of the Springer Topics in Signal Processing Book Series (volume 4)

DOI: 10.1007/978-3-642-22574-1

ISBN: 978-3-642-22573-4

Publisher: Springer Berlin Heidelberg - Springer Journals

Jan 1, 2011

1 - 9 of 9 Chapters

LitStream

Chapter 1Introduction

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

Pages: 1 –4

[Research and development of stereophonic echo control systems has been a subject of interest over the last 20+ years. In fact, one of the first papers describing the characteristics of stereophonic echo cancellation was presented in 1991 [1]. In this paper, it is pointed out that the loudspeaker...
LitStream

Chapter 2Problem Formulation

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

Pages: 5 –11

[It is well known that stereophonic acoustic echo, due to the coupling between two loudspeakers and two microphones, can be modelled by a two-input/twooutput system with real random variables. In this chapter, we recast this problem as a single-input/single-output system with complex random...
LitStream

Chapter 3System Identification with the Wiener Filter

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

Pages: 13 –27

[The main objective of SAEC is to identify the four acoustic impulse responses, ht, ll, ht, rl, ht, lr, ht, rr, or, equivalently, the complex acoustic impulse response, h̃t, of the stereophonic system. In this chapter, we show how to estimate h̃t with the Wiener approach [1], which has been...
LitStream

Chapter 4A Class of Stochastic Adaptive Filters

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

Pages: 29 –48

[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...
LitStream

Chapter 5A Class of Affine Projection Algorithms

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

Pages: 49 –62

[Affine projection algorithms (APAs) are very good candidates for echo cancellation. The two main reasons for that are: they may converge and track much faster than the NLMS algorithm and they can be efficient from an arithmetic complexity viewpoint. In this chapter, we derive some useful APAs...
LitStream

Chapter 6Recursive Least-Squares Algorithms

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

Pages: 63 –69

[Thanks to their fast convergence rate, recursive least-squares (RLS) algorithms are very popular in SAEC [1]. Indeed, it is well known that the convergence rate of RLS-type algorithms are not much affected by the nature of the input signal, even when this one is ill-conditioned. Actually, the...
LitStream

Chapter 7Double-Talk Detection

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

Pages: 71 –79

[Double-talk detectors (DTDs) are vital to the operation and performance of SAECs. In this chapter, we discuss the most well-known double-talk detection algorithms. It will be shown that, thanks to the WL formulation, DTDs for single-channel acoustic echo cancellation are easily generalized to...
LitStream

Chapter 8Echo and Noise Suppression as a Binaural Noise Reduction Problem

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

Pages: 81 –94

[This chapter deals with the important problem of residual-echo-plus-noise suppression. When reformulated with the WL model, this problem becomes similar to binaural noise reduction. The most useful filters for suppression are then derived.]
LitStream

Chapter 9Experimental Study

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

Pages: 95 –135

[The objective of this chapter is to present by means of simulations the most important features of the adaptive algorithms described in the previous chapters. To facilitate the flow of the experiments, we will follow the structure of the previous chapters, by first analyzing NLMS-based adaptive...

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