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|a UAMI
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|a Mironovskiĭ, L. A.
|q (Leonid Alekseevich)
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|a Strip-method for image and signal transformation /
|c by Leonid A. Mironovsky, Valery A. Slaev.
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|a Berlin ;
|a Boston :
|b De Gruyter,
|c 2011.
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|a 1 online resource
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
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|a data file
|2 rda
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1 |
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|a De Gruyter studies in mathematical physics ;
|v 1
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|a Includes bibliographical references and index.
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|a 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.
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|a Print version record.
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|a Foreword; Introduction; 1 Strip-method of signal transformation; 1.1 Strip-method of linear pre-distortions and problems it solves; 1.2 Assurance of the transformed signal continuity; 1.3 Equalization of non-stationary signal variance; 1.4 Equalization of the "informative ability" of a non-stationary signal; 1.5 Narrowing of the pre-distorted signal frequency spectrum; 2 Optimal Chebyshev pre-distortion and filtration; 2.1 Preliminaries; 2.2 Problem statement; 2.3 Estimation of the potential noise immunity in case of single noise.
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|a 2.4 Estimation of the potential noise immunity in the case of multiple noises2.5 Synthesis of the optimal Chebyshev filter; 2.6 Quasioptimal pre-distortions; 2.7 Introduction of redundancy in the strip-method of linear pre-distortions; 2.7.1 Decreasing the noise power in a reconstructed signal; 2.7.2 Detection, localization, identification and correction of pulse noise; 2.7.3 Possibilities for applying the strip-method in steganography; 3 Strip-method of image transformation; 3.1 Two-dimensional strip-transformation; 3.2 Choice of optimal transformation matrices.
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|a 3.3 Examples of the strip-transformation of images3.4 Determination of critical multiplicity of noise; 3.5 Root images of the two-sided strip-transformation; 4 Hardware implementation of the strip-method; 4.1 Implementation of the strip-method with usage of magnetic recording -- reproducing instruments; 4.2 Implementation of the strip-method with a cyclic matrix; 4.3 The device for equalization of the signal variance; 4.4 Devices for introducing information redundancy; Conclusion; Appendix Hadamard matrices and the matrices close to them; A.1 Hadamard matrices; A.2 Shortened Hadamard matrices.
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|a A.3 Conference-matricesA. 4 Optimal matrices of the odd order (M-matrices); A.5 Algorithm for determining optimal matrices; A.6 Characteristics of optimal matrices; Bibliography; Index.
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590 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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650 |
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|a Image processing
|x Mathematics.
|
650 |
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0 |
|a Signal processing
|x Mathematics.
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650 |
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|a Finite strip method.
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650 |
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|a Traitement d'images
|x Mathématiques.
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650 |
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|a Traitement du signal
|x Mathématiques.
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650 |
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|a Méthode des bandes finies.
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650 |
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|a TECHNOLOGY & ENGINEERING
|x Imaging Systems.
|2 bisacsh
|
650 |
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|a Finite strip method
|2 fast
|
650 |
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|a Image processing
|x Mathematics
|2 fast
|
650 |
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|a Signal processing
|x Mathematics
|2 fast
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700 |
1 |
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|a Slaev, Valery A.
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776 |
0 |
8 |
|i Print version:
|z 9783110251920
|w (DLC) 2011021425
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830 |
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|a De Gruyter studies in mathematical physics ;
|v 1.
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856 |
4 |
0 |
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