Description

Book Synopsis

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 selection and development in real-world applications, the book contains a wide range of examples to compare the efficacy of different algorithms in a variety of one-, two-, and three-dimensional cases. Multidimensional Discrete Unitary Transforms builds progressively from simple representative cases to higher levels of generalization.



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

Multidimensional Discrete Unitary Transforms

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    A Hardback by Artyom M. Grigoryan, Sos S. Agaian

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      Publisher: Taylor & Francis Inc
      Publication Date: Publication Date: 31/07/2003
      ISBN13: 9780824745967, 978-0824745967
      ISBN10: 0824745965
      Also in:
      Computing Algorithms and data structures Computer science Technology, Engineering & Agriculture Environmental science, engineering and technology

      Description

      Book Synopsis

      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 selection and development in real-world applications, the book contains a wide range of examples to compare the efficacy of different algorithms in a variety of one-, two-, and three-dimensional cases. Multidimensional Discrete Unitary Transforms builds progressively from simple representative cases to higher levels of generalization.



      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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