By Dr. Yiteng Arden Huang, Dr. Jingdong Chen, Prof. Dr. Jacob Benesty (auth.)
Acoustic MIMO sign Processing
Yiteng (Arden) Huang
Telecommunication platforms and human-machine interfaces begin applying a number of microphones and loudspeakers with the intention to make conversations and interactions extra reasonable, therefore extra effective. This improvement supplies upward thrust to a number of acoustic sign processing difficulties lower than multiple-input multiple-output (MIMO) situations, encompassing far-off speech acquisition, sound resource localization and monitoring, echo and noise regulate, resource separation and speech dereverberation, etc. the decade has witnessed a becoming curiosity in exploring those difficulties, yet there was little attempt to enhance a conception to have most of these difficulties investigated in a unified framework. This specified ebook makes an attempt to fill the gap.
Acoustic MIMO sign Processing is split into significant elements - the theoretical and the sensible. The authors start by way of introducing an acoustic MIMO paradigm, constructing the elemental of the sphere, and linking acoustic MIMO sign processing with the ideas of classical sign processing and communique theories when it comes to process id, equalization, and adaptive algorithms. within the moment a part of the ebook, a singular and penetrating research of aforementioned acoustic purposes is conducted within the paradigm to augment the elemental suggestions of acoustic MIMO sign processing.
Acoustic MIMO sign Processing is a well timed and critical expert reference for researchers and working towards engineers from universities and a variety of industries. it's also a very good textual content for graduate scholars who're attracted to this interesting field.
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Extra resources for Acoustic MIMO Signal Processing
Therefore, the key to the image model is to find a way to systematically enumerate all images. We treat a talker as a point source and define the coordinate system with the origin at one corner and the axises along three adjacent boundary lines. As a consequence, the original and image sound sources form a three-dimensional lattice of points, which is illustrated by Fig. 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.
41) Moreover, by using the two inequahties. 43) where /3( > 0, V/, it is easy to show that: ^ X l [ R ^ / ' ] < XF [R] < Xl [ R ' / ' ] The amplitude and phase of the image source is identical to those of the original source. If the wall is not perfectly rigid (which is more practical in the real world), the image analysis is altered by reducing the image amplitude by a wall reflection coefficient. In acoustics, the coefficient is usually assumed to be independent of frequency and angle. For a rectangular rooni, the images proliferate exactly like a hall of mirrors. Therefore, the key to the image model is to find a way to systematically enumerate all images.
The amplitude and phase of the image source is identical to those of the original source. If the wall is not perfectly rigid (which is more practical in the real world), the image analysis is altered by reducing the image amplitude by a wall reflection coefficient. In acoustics, the coefficient is usually assumed to be independent of frequency and angle. For a rectangular rooni, the images proliferate exactly like a hall of mirrors. Therefore, the key to the image model is to find a way to systematically enumerate all images.