Springer Acoustic MIMO Signal Processing (Signals and Communication Technology)

Product Description This book reviews acoustic MIMO scenarios for improving human-machine interaction. The book establishes an acoustic MIMO paradigm, linking MIMO signal processing with classical signal processing. Also presented is a novel analysis of acoustic applications to reinforce the fundamentals of acoustic MIMO signal processing. Review From the reviews: "The book is devoted to the problems of speech acquisition in complex acoustic environment. It is tutorial in nature with a detailed exposition of the latest achievements and state-of-the-art in the field. Open questions and further research direction are also explored. … The book will be useful for a large audience, ranging from researchers and PhD students, to practicing engineers, either just approaching in the field or already having years of experience." (Tzvetan Semerdjiev, Zentralblatt MATH, Vol. 1106 (8), 2007) From the Back Cover Acoustic MIMO Signal Processing Yiteng (Arden) Huang Jacob Benesty Jingdong Chen 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. The last decade has witnessed a growing interest in exploring these problems, but there has been little effort to develop a theory to have all these problems investigated in a unified framework. This unique book attempts to fill the gap. 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 practicing engineers from universities and a wide range of industries. It is also an excellent text for graduate students who are interested in this exciting field.