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Strip-method for image and signal transformation / by Leonid A. Mironovsky, Valery A. Slaev.

DGBA Physical Sciences 2000 - 2014 Available online

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EBSCOhost Academic eBook Collection (North America) Available online

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Format:
Book
Author/Creator:
Mironovskiĭ, L. A. (Leonid Alekseevich)
Contributor:
Slaev, Valery A.
Series:
De Gruyter studies in mathematical physics ; 1.
De Gruyter studies in mathematical physics ; 1
Language:
English
Subjects (All):
Image processing--Mathematics.
Image processing.
Signal processing--Mathematics.
Signal processing.
Finite strip method.
Physical Description:
1 online resource (176 p.)
Edition:
1st ed.
Place of Publication:
Berlin ; Boston : De Gruyter, 2012.
Language Note:
English
Summary:
This work deals with the matrix methods of continuous signal and image processing according to which strip-transformation is used. The authors suggest ways to solve a problem of evaluating potential noise immunity and synthesis of an optimal filter for the case of pulse noises, of applying the two-dimensional strip-transformation for storage and noise immune transmission of images. The strip-transformation of images is illustrated by examples and classes of images invariant relative to symmetrical orthogonal transformations. The monograph is intended for scientists and specialists whose activities are connected with computer signals and images processing, instrumentation and metrology. It can also be used by undergraduates, as well as by post-graduates for studying computer methods of signal and image processing.
Contents:
Frontmatter
Foreword
Contents
Introduction
Chapter 1 Strip-method of signal transformation
Chapter 2 Optimal Chebyshev pre-distortion and filtration
Chapter 3 Strip-method of image transformation
Chapter 4 Hardware implementation of the strip-method
Conclusion
Appendix Hadamard matrices and the matrices close to them
Bibliography
Index
Notes:
Description based upon print version of record.
Includes bibliographical references and index.
ISBN:
9786613400130
9781283400138
1283400138
9783110252569
3110252562
OCLC:
769343076

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