Strip-method for Image and Signal Transformation
Language: English
Published by De Gruyter, 2011
Series: Book 1 of 53 - De Gruyter Studies in Mathematical Physics
- Hardcover
- New
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
AbeBooks seller since January 6, 2003
Condition: New
US$ 225.90
Quantity: 2 available
Add to basketItem description from seller
163 pages. 9.25x6.75x0.50 inches. In Stock.
Seller Inventory # __3110251922
- Title
- Strip-method for Image and Signal Transformation
- Author
- Mironovsky, Leonid A./ Slaev, Valery A.
- Publisher
- De Gruyter
- Publication year
- 2011
- Condition
- Brand New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3110251922
- ISBN 13
- 9783110251920
- Item weight
- 0.67 kilograms
- Series
- Book 1 of 53: De Gruyter Studies in Mathematical Physics
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.
"Synopsis" may belong to another edition of this title.
About the Author
Leonid A. Mironovsky, Saint Petersburg State University of Aerospace Instrumentation, Russia; Valery A. Slaev, Mendeleyev Research Institute for Metrology, Saint Petersburg, Russia.
"About the title" may belong to another edition of this title.
Revaluation Books
Exeter, United Kingdom
AbeBooks seller since January 6, 2003
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