Cargando…

Strip-Method for Image and Signal Transformation.

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-di...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Mironovsky, Leonid A.
Otros Autores: Slaev, Valery A.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin : Walter de Gruyter, 2011.
Colección:De Gruyter studies in mathematical physics.
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000Mu 4500
001 EBOOKCENTRAL_ocn769343076
003 OCoLC
005 20240329122006.0
006 m o d
007 cr |n|||||||||
008 120907s2011 gw o 000 0 eng d
040 |a EBLCP  |b eng  |e pn  |c EBLCP  |d YDXCP  |d OCLCO  |d OCLCQ  |d CNSPO  |d OCLCQ  |d OCLCO  |d OCLCF  |d DEBBG  |d DEBSZ  |d OCLCO  |d OCLCQ  |d OCLCO  |d UAB  |d ZCU  |d MERUC  |d DEGRU  |d OCLCQ  |d ICG  |d OCLCQ  |d LEAUB  |d DKC  |d OCLCQ  |d S2H  |d OCLCO  |d OCLCQ  |d OCLCO 
020 |a 9783110252569 
020 |a 3110252562 
029 1 |a AU@  |b 000050120701 
029 1 |a CHBIS  |b 010396661 
029 1 |a CHVBK  |b 331230275 
029 1 |a DEBBG  |b BV042348190 
029 1 |a DEBBG  |b BV044160448 
029 1 |a DEBSZ  |b 431077533 
029 1 |a AU@  |b 000060881592 
035 |a (OCoLC)769343076 
050 4 |a TA1637  |b .M57 2011 
082 0 4 |a 621.367 
084 |a SK 950  |q SEPA  |2 rvk  |0 (DE-625)rvk/143273: 
049 |a UAMI 
100 1 |a Mironovsky, Leonid A. 
245 1 0 |a Strip-Method for Image and Signal Transformation. 
260 |a Berlin :  |b Walter de Gruyter,  |c 2011. 
300 |a 1 online resource (176 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a De Gruyter Studies in Mathematical Physics ;  |v v. 1 
588 0 |a Print version record. 
505 0 |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. 
505 8 |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. 
505 8 |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. 
505 8 |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. 
520 |a 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. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Image processing  |x Mathematics. 
650 0 |a Signal processing  |x Mathematics. 
650 0 |a Finite strip method. 
650 6 |a Traitement d'images  |x Mathématiques. 
650 6 |a Traitement du signal  |x Mathématiques. 
650 6 |a Méthode des bandes finies. 
650 7 |a SCIENCE / Physics / Mathematical & Computational.  |2 bisacsh 
650 7 |a Finite strip method  |2 fast 
650 7 |a Image processing  |x Mathematics  |2 fast 
650 7 |a Signal processing  |x Mathematics  |2 fast 
650 7 |a Optimalfilter  |2 gnd 
650 7 |a Matrixverfahren  |2 gnd 
650 7 |a Signalverarbeitung  |2 gnd 
650 7 |a Bildverarbeitung  |2 gnd 
650 7 |a Finite-Streifen-Methode  |2 gnd 
650 7 |a Vorverzerrung  |2 gnd 
700 1 |a Slaev, Valery A. 
776 0 8 |i Print version:  |a Mironovsky, Leonid A.  |t Strip-Method for Image and Signal Transformation.  |d Berlin : Walter de Gruyter, ©2011  |z 9783110251920 
830 0 |a De Gruyter studies in mathematical physics. 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=827303  |z Texto completo 
938 |a De Gruyter  |b DEGR  |n 9783110252569 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL827303 
938 |a YBP Library Services  |b YANK  |n 7237123 
994 |a 92  |b IZTAP