Overview

. . . that is what learning is. You suddenly understand something you've un­ derstood all your life, but in a new way. Various transforms have been widely used in diverse applications of science, engineering and technology. New transforms are emerging to solve many problems, which may have been left unsolved in the past, or newly created by modern science or technologies. Various meth­ ods have been continuously reported to improve the implementation of these transforms. Early developments of fast algorithms for discrete transforms have significantly stimulated the advance of digital signal processing technologies. More than 40 years after fast Fourier transform algorithms became known, several discrete transforms, including the discrete Hart­ ley transform and discrete cosine transform, were proposed and widely used for numerous applications. Although they all are related to the discrete Fourier transform, different fast algorithms and their implementations have to be separately developed to minimize compu­ tational complexity and implementation costs. In spite of the tremendous increase in the speed of computers or processors, the demands for higher processing throughout seemingly never ends. Fast algorithms have become more important than ever for modern applications to become a reality. Many new algorithms recently reported in the literature have led to important improvements upon a number of issues, which will be addressed in this book. Some discrete transforms are not suitable for signals that have time-varying frequency components. Although several approaches are available for such applications, various inher­ ent problems still remain unsolved.

Full Product Details

Author:   Guoan Bi ,  Yonghong Zeng
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2004
Dimensions:   Width: 17.80cm , Height: 2.30cm , Length: 25.40cm
Weight:   0.839kg
ISBN:  

9781461264996

ISBN 10:   1461264995
Pages:   422
Publication Date:   23 October 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1 Introduction.- 1.1 Discrete linear transforms.- 1.2 Fast algorithms.- 1.3 New transforms.- 1.4 Organization of the book.- References.- 2 Polynomial Transforms and Their Fast Algorithms.- 2.1 Basic number theory.- 2.2 Basic polynomial theory.- 2.3 1D polynomial transform.- 2.4 Fast polynomial transform.- 2.5 MD polynomial transform and fast algorithm.- 2.6 Chapter summary.- References.- 3 Fast Fourier Transform Algorithms.- 3.1 Introduction.- 3.2 Radix-2 and split-radix algorithms.- 3.3 Generalized split-radix algorithm.- 3.4 Prime factor algorithms.- 3.5 Generalized 2D split-radix algorithms.- 3.6 Fast algorithms for generalized DFT.- 3.7 Polynomial transform algorithms for MD DFT.- 3.8 Chapter summary.- 4 Fast Algorithms for 1D Discrete Hartley Transform.- 4.1 Introduction.- 4.2 Split-radix algorithms.- 4.3 Generalized split-radix algorithms.- 4.4 Radix-2 algorithms for type-II, -III and -IV DHTs.- 4.5 Prime factor algorithms.- 4.6 Radix-q algorithms.- 4.7 Fast algorithms using type-I DHT.- 4.8 Chapter summary.- 5 Fast Algorithms for MD Discrete Hartley Transform.- 5.1 Introduction.- 5.2 Split-radix algorithms for 2D type-I DHT.- 5.3 Fast algorithms for 2D type-II, -III and -IV DHTs.- 5.4 Fast algorithms based on type-I DHT.- 5.5 PT-based radix-2 algorithm for MD type-I DHT.- 5.6 PT-based radix-2 algorithm for MD type-II DHT.- 5.7 PT-based radix-q algorithm for MD type-I DHT.- 5.8 PT-based radix-q algorithm for MD type-II DHT.- 5.9 Chapter summary.- References.- 6 Fast Algorithms for 1D Discrete Cosine Transform.- 6.1 Introduction.- 6.2 Radix-2 algorithms.- 6.3 Prime factor algorithms.- 6.4 Radix-q algorithms.- 6.5 Fast algorithms based on type-I bCT.- 6.6 Chapter summary.- 7 Fast Algorithms for MD Discrete Cosine Transform.- 7.1 Introduction.- 7.2 Algorithms for 2Dtype-I, -II and -III DCTs.- 7.3 Prime factor algorithm for MD DCT.- 7.4 PT-based radix-2 algorithm for MD type-II DCT.- 7.5 PT-based radix-2 algorithm for MD type-III DCT.- 7.6 PT-based radix-q algorithm for MD type-II DCT.- 7.7 PT-based radix-q algorithm for MD type-III DCT.- 7.8 Chapter summary.- 8 Integer Transforms and Fast Algorithms.- 8.1 Introduction.- 8.2 Preliminaries.- 8.3 Integer DCT and fast algorithms.- 8.4 Integer DHT and fast algorithms.- 8.5 MD Integer DCT and fast algorithms.- 8.6 MD Integer DHT and fast algorithms.- 8.7 Chapter summary.- References.- 9 New Methods of Time-Frequency Analysis.- 9.1 Introduction.- 9.2 Preliminaries.- 9.3 Harmonic transform.- 9.4 Tomographic time-frequency transform.- 9.5 Chapter summary.- References.

Reviews

This is perhaps the best text on transforms for signal processing since Nussbaumer's Fast Fourier Transform and Convolution Algorithms (Springer, 1982) and Elliott and Rao's, Fast Transforms: Algorithms, Analyses, Applications (Academic Press, 1982). Its nine chapters encompass almost all the knowledge needed to apply signal processing transforms successfully in practice. It is expected that the reader has had some exposure to transforms, so the first introductory chapter is very short; it mainly provides a sort of plan of things to come.... The authors have chosen to provide proofs only to essential theorems, like the Chinese remainder theorem, a good decision for a reference book, but perhaps not so good for a textbook. However, this book does lean more towards serving as a professional reference than does the more academic Nussbaumer text. The lack of proofs felt by some readers is largely offset by an abundance of concrete examples.... Chapter 8 is unique, in the sense that 'to the best of my knowledge' this material has never appeared in a book before. The chapter deals with integer transforms, which might be thought of as derived from the DCT and discrete sine transforms; these are gaining in popularity in various transform coding schemes for both video and audio.... In conclusion, this book is a highly practical and very welcome addition to the collection of texts on signal processing techniques and applications. -Analog Dialogue -

This is perhaps the best text on transforms for signal processing since Nussbaumer's Fast Fourier Transform and Convolution Algorithms (Springer, 1982) and Elliott and Rao's, Fast Transforms: Algorithms, Analyses, Applications (Academic Press, 1982). Its nine chapters encompass almost all the knowledge needed to apply signal processing transforms successfully in practice. It is expected that the reader has had some exposure to transforms, so the first introductory chapter is very short; it mainly provides a sort of plan of things to come... The authors have chosen to provide proofs only to essential theorems, like the Chinese remainder theorem, a good decision for a reference book, but perhaps not so good for a textbook. However, this book does lean more towards serving as a professional reference than does the more academic Nussbaumer text. The lack of proofs felt by some readers is largely offset by an abundance of concrete examples... Chapter 8 is unique, in the sense that 'to the best of my knowledge' this material has never appeared in a book before. The chapter deals with integer transforms, which might be thought of as derived from the DCT and discrete sine transforms; these are gaining in popularity in various transform coding schemes for both video and audio... In conclusion, this book is a highly practical and very welcome addition to the collection of texts on signal processing techniques and applications. -Analog Dialogue -

"""This is perhaps the best text on transforms for signal processing since Nussbaumer's Fast Fourier Transform and Convolution Algorithms (Springer, 1982) and Elliott and Rao's, Fast Transforms: Algorithms, Analyses, Applications (Academic Press, 1982). Its nine chapters encompass almost all the knowledge needed to apply signal processing transforms successfully in practice. It is expected that the reader has had some exposure to transforms, so the first introductory chapter is very short; it mainly provides a sort of plan of things to come.... The authors have chosen to provide proofs only to essential theorems, like the Chinese remainder theorem, a good decision for a reference book, but perhaps not so good for a textbook. However, this book does lean more towards serving as a professional reference than does the more academic Nussbaumer text. The lack of proofs felt by some readers is largely offset by an abundance of concrete examples.... Chapter 8 is unique, in the sense that 'to the best of my knowledge' this material has never appeared in a book before. The chapter deals with integer transforms, which might be thought of as derived from the DCT and discrete sine transforms; these are gaining in popularity in various transform coding schemes for both video and audio.... In conclusion, this book is a highly practical and very welcome addition to the collection of texts on signal processing techniques and applications.""   —Analog Dialogue   —"

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