Titlebook: Array Processing; Kronecker Product Be Jacob Benesty,Israel Cohen,Jingdong Chen Book 2019 Springer Nature Switzerland AG 2019 Microphone Ar

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Generalization with Uniform Linear Arrays,nd derive all performance measures useful for fixed beamforming. A particular decomposition has caught our attention, for which we explain in details how it may fit well in differential beamforming. Obviously, we can follow all these steps to deduce beamformers for other decompositions.

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Approach with Nonuniform Linear Arrays,apter. First, we show how from two virtual ULAs we can construct a physical NULA whose associated steering vector is the Kronecker product of the steering vectors associated with the virtual arrays. Then, we explain how Kronecker product beamforming is performed. We give the most important performan

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Spatiotemporal Signal Enhancement,chapter is on the spatiotemporal signal enhancement problem with any array geometry. By taking into account the interframe correlation, we show how the Kronecker product appears naturally in the definition of the signal vector. Thanks to this, we explain how to perform noise reduction (i.e., signal

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