Strip-Method for Image and Signal Transformation (eBook)

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

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

lt;P>"From the beginning, it is worth noting that the two authors have long been active in the domain, over 30 years (see the References), whence the excellent clarity of the exposition. […] The volume represents an excellent exposition of an interesting theory and its experimental validation. This book is an excellent read for students as well as for researchers in communication theory." Mathematical Reviews