Microphone Array Signal Processing [electronic resource] /
Benesty, Jacob.author.
Chen, Jingdong.author.
Huang, Yiteng.author.
Microphone arrays have attracted a lot of interest in the last two decades. The reason behind this is that they have the potential to solve many important problems in both human-machine and human-human interfaces for different kinds of communications. But before microphone arrays can be deployed broadly, there is a strong need for a deep understanding of the problems encountered in the real world and their clear formulation in order that useful algorithms can be developed to process the sensor signals. While there are many manuscripts on antenna arrays from a narrowband perspective (narrowband signals and narrowband processing), the literature is quite scarce when it comes to sensor arrays explained from a truly broadband perspective. Many algorithms for speech applications were simply borrowed from narrowband antenna arrays. However, a direct application of narrowband ideas to broadband speech processing may not be necessarily appropriate and can lead to many misunderstandings. Therefore, the main objective of this book is to derive and explain the most fundamental algorithms from a strictly broadband (signals and/or processing) viewpoint. Thanks to the approach taken here, new concepts come in light that have the great potential of solving several, very difficult problems encountered in acoustic and speech applications. Microphone Array 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 promising and exciting field.
Description based upon print version of record.
Includes bibliographical references and index.
Classical Optimal Filtering -- Conventional Beamforming Techniques -- On the Use of the LCMV Filter in Room Acoustic Environments -- Noise Reduction with Multiple Microphones: a Unified Treatment -- Noncausal (Frequency-Domain) Optimal Filters -- Microphone Arrays from a MIMO Perspective -- Sequential Separation and Dereverberation: the Two-Stage Approach -- Direction-of-Arrival and Time-Difference-of-Arrival Estimation -- Unaddressed Problems.
Microphone arrays have attracted a lot of interest in the last two decades. The reason behind this is that they have the potential to solve many important problems in both human-machine and human-human interfaces for different kinds of communications. But before microphone arrays can be deployed broadly, there is a strong need for a deep understanding of the problems encountered in the real world and their clear formulation in order that useful algorithms can be developed to process the sensor signals. While there are many manuscripts on antenna arrays from a narrowband perspective (narrowband signals and narrowband processing), the literature is quite scarce when it comes to sensor arrays explained from a truly broadband perspective. Many algorithms for speech applications were simply borrowed from narrowband antenna arrays. However, a direct application of narrowband ideas to broadband speech processing may not be necessarily appropriate and can lead to many misunderstandings. Therefore, the main objective of this book is to derive and explain the most fundamental algorithms from a strictly broadband (signals and/or processing) viewpoint. Thanks to the approach taken here, new concepts come in light that have the great potential of solving several, very difficult problems encountered in acoustic and speech applications. Microphone Array 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 promising and exciting field.
Electrical engineering.
Signal processing.
Image processing.
Speech processing systems.
Microwaves.
Optical engineering.
Acoustics.
Communications Engineering, Networks.
Signal, Image and Speech Processing.
Microwaves, RF and Optical Engineering.
Acoustics.
Springer Topics in Signal Processing