Strip-Method for Image and Signal Transformation

1. Auflage 2011
ISBN: 978-3-11-025192-0
Verlag: De Gruyter

Buch, Englisch, Band 1, 166 Seiten, Format (B × H): 175 mm x 246 mm, Gewicht: 488 g

Reihe: De Gruyter Studies in Mathematical Physics

- The volume needed to understand a key technique for reducing error in signal transmission
- From a renowned author with experience in research and application
- Mathematically well founded

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.

Zielgruppe

Practitioners and Advanced Students working in the Fields of Signal Processing, Image Processing and Pattern Recognition; Telecommunications and Radio Engineers

Autoren/Hrsg.

Slaev, Valery A.

Mironovsky, Leonid A.

Fachgebiete

• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik

Inhaltsverzeichnis

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

PrefaceIntroductionCHAPTER 1. THE STRIP-METHOD OF TRANSFORMATION OF SIGNALS1.1. The strip-method linear encoding, and problems solved by it1.2. Conservation of a "smoothness" of the transformed signal1.3. Alignment of a variance of a non-stationary signal1.4. Alignment comprehension a non-stationary signal1.5. Spectrum narrowing of an encoding signalCHAPTER 2. OPTIMAL CHEBYSHEV ENCODING AND THE FILTRATION2.1. Preliminary remarks2.2. Problem statement2.3. An estimation of a potential noise-immune in case of single pulse noise2.4. An estimation of a potential noise-immune in case of multiple pulse noise2.5. Synthesis optimal Chebyshev filter2.6. Quasi-optimal encoding2.7. Redundancy introduction in a strip-method linear encodingCHAPTER 3. THE STRIP-METHOD OF TRANSFORMATION OF IMAGES3.1. A two-dimensional strip-transformation3.2. A choice of optimal matrices of transformation3.3. Examples of strip-transformation of images3.4. Definition of critical multiplicity of pulse noise3.5. Root images of bilateral strip-transformationCHAPTER 4. HARDWARE REALIZATION OF THE STRIP-METHOD4.1. Realization of a strip-method with use of magnetic recording-reproduction4.2. Realization of a strip-method with a cyclic matrix4.3. The device of alignment of a signal variance4.4. Devices for introduction of information redundancyConclusionAppendix. Hadamard matrices and matrices close to themBibliography

Über Autor(innen)

Slaev, Valery A.
Valery A. Slaev, Mendeleyev Research Institute for Metrology, Saint Petersburg, Russia.

Mironovsky, Leonid A.
Leonid A. Mironovsky, Saint Petersburg State University of Aerospace Instrumentation, Russia;

Leonid A. Mironovsky, Saint Petersburg State University of Aerospace Instrumentation, Russia;

Valery A. Slaev, Mendeleyev Research Institute for Metrology, Saint Petersburg, Russia.