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Linear Algebra for Signal Processing Book

Linear Algebra for Signal Processing
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Linear Algebra for Signal Processing, Signal processing applications have burgeoned in the past decade. During the same time, signal processing techniques have matured rapidly and now include tools from many areas of mathematics, computer science, physics, and engineering. This trend will con, Linear Algebra for Signal Processing
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  • Linear Algebra for Signal Processing
  • Written by author Adam Bojanczyk
  • Published by Springer-Verlag New York, LLC, 7/31/2012
  • Signal processing applications have burgeoned in the past decade. During the same time, signal processing techniques have matured rapidly and now include tools from many areas of mathematics, computer science, physics, and engineering. This trend will con
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Book Categories

Authors

Foreword
Preface
Structured matrices and inverses 1
Structured condition numbers for linear matrix structures 17
The canonical correlations of matrix pairs and their numerical computation 27
Continuity of the joint spectral radius: Application to wavelets 51
Inversion of generalized Cauchy matrices and other classes of structured matrices 63
Wavelets, filter banks, and arbitrary tilings of the time-frequency plane 83
Systolic algorithms for adaptive signal processing 125
Adaptive algorithms for blind channel equalization 139
Square-root algorithms for structured matrices, interpolation, and completion problems 153


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Linear Algebra for Signal Processing, Signal processing applications have burgeoned in the past decade. During the same time, signal processing techniques have matured rapidly and now include tools from many areas of mathematics, computer science, physics, and engineering. This trend will con, Linear Algebra for Signal Processing

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Linear Algebra for Signal Processing, Signal processing applications have burgeoned in the past decade. During the same time, signal processing techniques have matured rapidly and now include tools from many areas of mathematics, computer science, physics, and engineering. This trend will con, Linear Algebra for Signal Processing

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Linear Algebra for Signal Processing, Signal processing applications have burgeoned in the past decade. During the same time, signal processing techniques have matured rapidly and now include tools from many areas of mathematics, computer science, physics, and engineering. This trend will con, Linear Algebra for Signal Processing

Linear Algebra for Signal Processing

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