دانلود کتاب Strip-Method for Image and Signal Transformation

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Foreword\nIntroduction\n1 Strip-method of signal transformation\n 1.1 Strip-method of linear pre-distortions and problems it solves\n 1.2 Assurance of the transformed signal continuity\n 1.3 Equalization of non-stationary signal variance\n 1.4 Equalization of the “informative ability” of a non-stationary signal\n 1.5 Narrowing of the pre-distorted signal frequency spectrum\n2 Optimal Chebyshev pre-distortion and filtration\n 2.1 Preliminaries\n 2.2 Problem statement\n 2.3 Estimation of the potential noise immunity in case of single noise\n 2.4 Estimation of the potential noise immunity in the case of multiple noises\n 2.5 Synthesis of the optimal Chebyshev filter\n 2.6 Quasioptimal pre-distortions\n 2.7 Introduction of redundancy in the strip-method of linear pre-distortions\n 2.7.1 Decreasing the noise power in a reconstructed signal\n 2.7.2 Detection, localization, identification and correction of pulse noise\n 2.7.3 Possibilities for applying the strip-method in steganography\n3 Strip-method of image transformation\n 3.1 Two-dimensional strip-transformation\n 3.2 Choice of optimal transformation matrices\n 3.3 Examples of the strip-transformation of images\n 3.4 Determination of critical multiplicity of noise\n 3.5 Root images of the two-sided strip-transformation\n4 Hardware implementation of the strip-method\n 4.1 Implementation of the strip-method with usage of magnetic recording – reproducing instruments\n 4.2 Implementation of the strip-method with a cyclic matrix\n 4.3 The device for equalization of the signal variance\n 4.4 Devices for introducing information redundancy\nConclusion\nAppendix Hadamard matrices and the matrices close to them\n A.1 Hadamard matrices\n A.2 Shortened Hadamard matrices\n A.3 Conference-matrices\n A.4 Optimal matrices of the odd order (M-matrices)\n A.5 Algorithm for determining optimal matrices\n A.6 Characteristics of optimal matrices\nBibliography\nIndex