By Yiteng Huang
Telecommunication platforms and human-machine interfaces have all started utilizing a number of microphones and loudspeakers to render interplay extra sensible, and extra effective. This increases acoustic sign processing difficulties less than multiple-input multiple-output (MIMO) eventualities, encompassing far-off 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, constructing basics, and linking acoustic MIMO sign processing with classical sign processing and conversation theories. the second one a part of the e-book offers a unique research of acoustic purposes performed within the paradigm to enhance the basics of acoustic MIMO sign processing.
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Additional info for Acoustic MIMO Signal Processing (2006) (Signals and Communication Technology)
The loudspeaker has a wide effective frequency band ranging from 200 to 20 kHz. The microphone signals were recorded and estimates of channel impulse responses were calculated by spectral division. The four panel configurations are 0%, 30%, 75%, and 89% open. During these measurements the north wall behind the microphone array was covered by a three-inch-thick fiberglass pillow, so that the reverberation time was smaller than reported in  for the same panel configuration. 75 m high. 565 m from the west wall of the chamber.
6. In this figure, the rectangle with shadow is the real room and the others are image rooms, each containing an image of the original sound source. 26 2 Acoustic MIMO Systems Before discussing the image analysis technique, let us first introduce the following notation, which is slightly different from that used in : Lx, Ly, Lz Size of the rectangular room in the x, y, and z direction, respectively. rs rm ^ r ys jr ^s Position of the sound source. n c Position of the microphone. Speed of sound in the air.
7. Then the reflection coefficients corresponding to the surfaces of even and odd indexes are PXQ and p^i» respectively. • For Pa; = 0 as seen from Fig. 7(a), the path from the image to the microphone crosses in the x direction the same number (l^xl) of evenindexed and odd-indexed surfaces. Then the reduction in wave amplitude due to the reflections is P. 28) For Pa; = 1 as seen from Fig. 7(b), the number of even-indexed surfaces crossed is different from the number of odd-indexed surfaces crossed by 1.
Acoustic MIMO Signal Processing (2006) (Signals and Communication Technology) by Yiteng Huang