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Advances in Imaging and Electron Physics, Volume 124



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Author: Peter Hawkes

Publisher: Academic Press

Publish Date: 18th October 2002

ISBN-13: 9780080490052

Pages: 400

Language: English

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Description

Advances in Imaging and Electron Physics merges two long-running serials–Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science and digital image processing, electromagnetic wave propagation, electron microscopy, and the computing methods used in all these domains.

Table of Contents

Preface Future Contributors V-Vector Algebra and Volterra FiltersPublisher Summary I INTRODUCTION II VOLTERRA SERIES EXPANSIONS AND VOLTERRA FILTERS III V-VECTOR ALGEBRA IV V-VECTORS FOR VOLTERRA AND LINEAR MULTICHANNEL FILTERS V A NOVEL GIVENS ROTATION–BASED FAST QR-RLS ALGORITHM VI NONLINEAR PREDICTION AND CODING OF SPEECH AND AUDIO BY USING V-VECTOR ALGEBRA AND VOLTERRA FILTERS VII SUMMARY Appendix I THE GIVENS ROTATIONS Appendix II SOME EFFICIENT FACTORIZATION ALGORITHMS A Brief Walk Through Sampling TheoryI STARTING POINT II ORTHOGONAL SAMPLING FORMULAS* III CLASSICAL PALEY-WIENER SPACES REVISITED IV SAMPLING STATIONARY STOCHASTIC PROCESSES V AT THE END OF THE WALK ACKNOWLEDGMENTS Kriging Filters for Space–Time InterpolationI INTRODUCTION II DATA MODEL III REVIEW OF KRIGING METHODS IV BEST LINEAR UNBIASED PREDICTION V COKRIGING FILTERS VI SPACE–TIME KRIGING FILTERS VII APPLICATIONS VIII DISCUSSION AND CONCLUSION APPENDIX: OPTIMALITY OF FILTERING ALGORITHMS Constructions of Orthogonal and Biorthogonal Scaling Functions and Multiwavelets Using Fractal Interpolation SurfacesI INTRODUCTION II SCALING FUNCTION CONSTRUCTIONS III ASSOCIATED MULTIWAVELETS IV WAVELET CONSTRUCTIONS V APPLICATIONS TO DIGITIZED IMAGES APPENDIX Diffraction Tomography for Turbid MediaI INTRODUCTION II BACKGROUND III DIFFRACTION TOMOGRAPHY FOR TURBID MEDIA: THE FORWARD MODEL IV BACKPROPAGATION IN TURBID MEDIA V SIGNAL-TO-NOISE RATIOS VI CONCLUDING REMARKS ACKNOWLEDGMENTS Tree-Adapted Wavelet ShrinkageI INTRODUCTION II COMPARISON OF TAWS AND WIENER FILTERING III WAVELET ANALYSIS IV FUNDAMENTALS OF WAVELET-BASED DENOISING V TREE-ADAPTED WAVELET SHRINKAGE VI COMPARISON OF TAWS WITH OTHER TECHNIQUES VII CONCLUSION Index