In the usual formulation of the deconvolution problem, it is assumed that the system input and system output are both known. There are, however, many important physical situations where it is impractical to assume the availability of the system input - situations of blind deconvolution. This book is devoted completely to the study of the blind deconvolution problem. It considers a variety of blind deconvolution/equalization algorithms - with computer simulation experiments to support the theory. This book is designed for students, engineers and scientists interested in signal processing.
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In the usual formulation of the deconvolution problem, it is assumed that the system input and system output are both known. There are, however, many important physical situations where it is impractical to assume the availability of the system input -- situations of blind deconvolution. This is the first book of its kind to be devoted completely to the study of the blind deconvolution problem. It considers a variety of blind deconvolution/equalization algorithms -- with computer simulation experiments to support the theory.
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1 of 1 people found the following review helpful:
4.0 out of 5 stars
it's for the expert,
This review is from: Blind Deconvolution (Prentice Hall Information and System Sciences) (Hardcover)
This book collects several papers which are related with equlization algorithms. It includes lots of important theorem in signal processings. It is good for the expert. However, it makes the beginner to feel difficult. This book is organized well, but not so easy.
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