<P><STRONG>Acoustic MIMO Signal Processing</STRONG></P><P></P><P>Yiteng (Arden) Huang </P><P>Jacob Benesty</P><P>Jingdong Chen</P><P></P><P>Telecommunication systems and human-machine interfaces start employing multiple microphones and loudspeakers in order to make conversations and interactions mor
Acoustic MIMO Signal Processing
โ Scribed by Jens Blauert, Ning Xiang
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Leaves
- 383
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Telecommunication systems and human-machine interfaces start employing multiple microphones and loudspeakers in order to make conversations and interactions more lifelike, hence more efficient. This development gives rise to a variety of acoustic signal processing problems under multiple-input multiple-output (MIMO) scenarios, encompassing distant speech acquisition, sound source localization and tracking, echo and noise control, source separation and speech dereverberation, and many others.
Acoustic MIMO Signal Processing is divided into two major parts - the theoretical and the practical. The authors begin by introducing an acoustic MIMO paradigm, establishing the fundamental of the field, and linking acoustic MIMO signal processing with the concepts of classical signal processing and communication theories in terms of system identification, equalization, and adaptive algorithms. In the second part of the book, a novel and penetrating analysis of aforementioned acoustic applications is carried out in the paradigm to reinforce the fundamental concepts of acoustic MIMO signal processing.
Acoustic MIMO Signal Processing is a timely and important professional reference for researchers and practitioners from universities and a wide range of industries. It is also an excellent text for graduate students who are interested in this exciting field.
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<p>158 2. Wiener Filtering 159 3. Speech Enhancement by Short-Time Spectral Modification 3. 1 Short-Time Fourier Analysis and Synthesis 159 160 3. 2 Short-Time Wiener Filter 161 3. 3 Power Subtraction 3. 4 Magnitude Subtraction 162 3. 5 Parametric Wiener Filtering 163 164 3. 6 Review and Discussion