By E. Hansler, Gerhard Schmidt

Authors are popular and hugely well-known by means of the "acoustic echo and noise community."Presents an in depth description of useful tips on how to keep watch over echo and noiseDevelops a statistical thought for optimum keep watch over parameters and provides useful estimation and approximation tools

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Acoustic Echo and Noise Control: A Practical Approach

Authors are popular and hugely well-known through the "acoustic echo and noise group. "Presents a close description of sensible how to keep watch over echo and noiseDevelops a statistical idea for optimum regulate parameters and offers sensible estimation and approximation equipment

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Where more than one input channel is allowed, beamforming provides an effective method for echo and noise suppression. The fundamentals of this technique are explained in Chapter 11. No one algorithm for echo and noise control that is “left alone” performs satisfactory in a real environment. In Part IV we describe the control of such algorithms and the estimation of the control parameters. Most of the information given here has been published only in papers and conference proceeding. So, this is the first concise presentation of this material.

Depending on the application, it may be possible to design the boundaries of the enclosure such that the reverberation time is small, resulting in a short impulse response. Examples are telecommunication studios. For ordinary offices the reverberation time T 6 0 is typically in the order of a few hundred milliseconds. For the interior of a passenger car this quantity is a few tens of milliseconds long. To give an example, Fig. 14 shows the floor plan of the office used for most of the measurements and experiments described in this book.

The authors do hope that the readers forgive them the notation n ( n ) ,which refers to a noise signal at discrete time n. 7 8 ACOUSTIC ECHO AND NOISE CONTROL SYSTEMS Table 2. I Notation Meaning Symbol Signals Background noise Desired signal Output signal of the adaptive filter Error signal Undistorted error signal Sum of all local signals Local speech signal Excitation signal Microphone signal System parameters Impulse response vector of the unknown system Impulse response vector of the adaptive filter Wiener solution System mismatch vector Control parameters Regularization parameter Stepsize Statistical quantities Autocorrelation and cross-correlation Power spectral densities Characteristic features of systems that require echo and noise control are governed by the volume of the enclosure, the required bandwidth, the tolerable delay, and, if the feature is optional, the extra cost.

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