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Strip-Method for Image and Signal Transformation: De Gruyter Studies in Mathematical Physics, cartea 1

Autor Leonid A. Mironovsky, Valery A. Slaev
en Mixed media product – 29 noi 2011
Thiswork 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.
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Specificații

ISBN-13: 9783112188262
ISBN-10: 3112188268
Ilustrații: Includes a print version and an ebook
Dimensiuni: 170 x 240 mm
Ediția:
Editura: De Gruyter
Seria De Gruyter Studies in Mathematical Physics

Locul publicării:Berlin/Boston

Notă biografică

Leonid A. Mironovsky, Saint Petersburg State University of Aerospace Instrumentation, Russia; Valery A. Slaev, Mendeleyev Research Institute for Metrology, Saint Petersburg, Russia.

Cuprins

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Preface Introduction CHAPTER 1. THE STRIP-METHOD OF TRANSFORMATION OF SIGNALS 1.1. The strip-method linear encoding, and problems solved by it 1.2. Conservation of a "smoothness" of the transformed signal 1.3. Alignment of a variance of a non-stationary signal 1.4. Alignment comprehension a non-stationary signal 1.5. Spectrum narrowing of an encoding signal CHAPTER 2. OPTIMAL CHEBYSHEV ENCODING AND THE FILTRATION 2.1. Preliminary remarks 2.2. Problem statement 2.3. An estimation of a potential noise-immune in case of single pulse noise 2.4. An estimation of a potential noise-immune in case of multiple pulse noise 2.5. Synthesis optimal Chebyshev filter 2.6. Quasi-optimal encoding 2.7. Redundancy introduction in a strip-method linear encoding CHAPTER 3. THE STRIP-METHOD OF TRANSFORMATION OF IMAGES 3.1. A two-dimensional strip-transformation 3.2. A choice of optimal matrices of transformation 3.3. Examples of strip-transformation of images 3.4. Definition of critical multiplicity of pulse noise 3.5. Root images of bilateral strip-transformation CHAPTER 4. HARDWARE REALIZATION OF THE STRIP-METHOD 4.1. Realization of a strip-method with use of magnetic recording-reproduction 4.2. Realization of a strip-method with a cyclic matrix 4.3. The device of alignment of a signal variance 4.4. Devices for introduction of information redundancy Conclusion Appendix. Hadamard matrices and matrices close to them Bibliography