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Mathematical Methods and Algorithms for Signal Processing
takles the challenge many students and practitioners face in the field
of signal processing --- how to deal with the breadth of mathematical
topics employed in the subject. This text provides a solid foundation
of theoretical and practical tools that will serve a broad range of
signal processing applications. Linear algebra, statistical signal
processing, iterative algorithms, and optimization are thoroughly
treated, with signal processing examples throughout. Students,
practicing engineers, and researchers will find Mathematical
Methods and Algorithms for Signal Processing useful as a textbook
and as a reference.
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