Multidimensional Discrete Unitary Transforms: Representation: Partitioning, and Algorithms
This reference presents a more efficient, flexible, and manageable approach to unitary transform calculation and examines novel concepts in the design, classification, and management of fast algorithms for different transforms in one-, two-, and multidimensional cases. Illustrating methods to construct new unitary transforms for best algorithm sele
1139776406
Multidimensional Discrete Unitary Transforms: Representation: Partitioning, and Algorithms
This reference presents a more efficient, flexible, and manageable approach to unitary transform calculation and examines novel concepts in the design, classification, and management of fast algorithms for different transforms in one-, two-, and multidimensional cases. Illustrating methods to construct new unitary transforms for best algorithm sele
375.0 In Stock
Multidimensional Discrete Unitary Transforms: Representation: Partitioning, and Algorithms

Multidimensional Discrete Unitary Transforms: Representation: Partitioning, and Algorithms

by Artyom M. Grigoryan, Sos S. Agaian
Multidimensional Discrete Unitary Transforms: Representation: Partitioning, and Algorithms

Multidimensional Discrete Unitary Transforms: Representation: Partitioning, and Algorithms

by Artyom M. Grigoryan, Sos S. Agaian

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$375.00 

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Overview

This reference presents a more efficient, flexible, and manageable approach to unitary transform calculation and examines novel concepts in the design, classification, and management of fast algorithms for different transforms in one-, two-, and multidimensional cases. Illustrating methods to construct new unitary transforms for best algorithm sele

Product Details

ISBN-13: 9781040077375
Publisher: CRC Press
Publication date: 07/31/2003
Series: Signal Processing and Communications
Sold by: Barnes & Noble
Format: eBook
Pages: 544
File size: 23 MB
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About the Author

Artyom M. Grigoryan, Sos S. Agaian

Table of Contents

Series Introduction, Preface, 1: Basic Concepts and Notation, I: Tensor Representation of Multidimensional Signals, II: Analysis and effective computing procedures, III: Applications of Paired Transformations, Index
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