Full Product Details
Author: Guoan Bi ,
Yonghong Zeng
Publisher: Birkhauser Boston Inc
Imprint: Birkhauser Boston Inc
Edition: 2004 ed.
Dimensions:
Width: 17.80cm
, Height: 2.50cm
, Length: 25.40cm
Weight: 1.019kg
ISBN: 9780817642792
ISBN 10: 081764279
Pages: 422
Publication Date: 21 October 2003
Audience:
General/trade
,
General
Format: Hardback
Publisher's Status: Active
Availability: In Print
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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.... <p>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. a Analog Dialogue <p>a
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 --"
