Download Acoustic MIMO Signal Processing (2006) (Signals and by Yiteng Huang PDF

By Yiteng Huang

Telecommunication platforms and human-machine interfaces have started utilizing a number of microphones and loudspeakers to render interplay extra practical, and extra effective. This increases acoustic sign processing difficulties below multiple-input multiple-output (MIMO) situations, encompassing far away speech acquisition, sound resource localization and monitoring, echo and noise regulate, resource separation and speech dereverberation, and so forth. The ebook opens with an acoustic MIMO paradigm, setting up basics, and linking acoustic MIMO sign processing with classical sign processing and conversation theories. the second one a part of the booklet offers a unique research of acoustic functions performed within the paradigm to enhance the basics of acoustic MIMO sign processing.

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Additional resources for Acoustic MIMO Signal Processing (2006) (Signals and Communication Technology)

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Among many other acoustic measurements made in the varechoic chamber, Harma's collection [156] has been extensively used in our acoustic MIMO signal processing research. 1. Average reverberation time for acoustic channel impulse responses measured by Harma in the varechoic chamber as a function of the percentage of open panels. Percentage Open Panels (%) Reverberation Time (ms) 0 30 75 89 580 380 310 240 panel configurations. The 22 microphones are omnidirectional Panasonic WM61a microphones, whose frequency response is flat from 20 Hz to 20 kHz with individual differences in sensitivity within the range of ±4 dB.

Where G is an ML x (2L — 1) matrix, containing the impulse responses gm and is assumed to be full column rank, and Ss(A:) is a (2L — 1) x 1 vector. 111) where RsgSs is the source signal covariance matrix of size (2L — 1) x (2L - 1), assumed to be full rank. 113) where Null[ ] and Rank[ ] denote the dimension of the null space and the rank of a matrix, respectively. From the above analysis, one can see that a MISO system is rank deficient if its inputs are the filtered version of the same source signal.

For a long reverberation time (large /5), he will decay slowly while for a short reverberation time (small P) he will decay rapidly. 3 Measurement and Simulation of MIMO Acoustic Systems (a) (b) (c) (d) 0 < ,e(h) < 1, VaT^O, a « h ) = e(h), e(hd) = 1, ^(hu) = 0. 23) Proof: We only show Property (a); the other three are straightforward. 24) which implies that ^{\i) < 1. Moreover, it can be shown using the CauchySchwarz inequahty (see [146] for example) that: llhlli < x/I||h||2. 25) As a result, ^(h) > 0.

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