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这是关于小波图像处理的电子书,高清,最新版本,经典著作,英文版

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Wavelet Methods to Image Processing

这是关于小波图像处理的电子书,高清,最新版本,经典著作,英文版

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Wavelet Methods with Applications to Image Processing

这是关于小波图像处理的电 子书,高清,最新版本,经典著作,英文版

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Wavelet Methods with Applications to Signal and Image Processing

这是关于数字图像处理的电子书,高清,最新版本,经典著作,英文版

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Applied functional analysis - Numerical Methods, Wavelet Methods, and Image Processing (Abul Hasan Siddiqi) (M.Dekker 2004 569s)

The methods of functional analysis have helped solve diverse real-world problems in optimization, modeling, analysis, numerical approximation, and computer simulation. Applied Functional Analysis presents functional analysis results surfacing repeatedly in scientific and technological applications a

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The Illustrated Wavelet Transform Handbook

nicely organized and thoroughly pedagogical handbook … The book is very much 'figure driven' and they are extremely useful for illustrating the mathematics and conveying the concepts in an uncomplicated matter … an eminently readable style in motivating and explaining wavelets throughout the course

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A Second-Generation Wavelet Framework for Super-Resolution

The use of second-generation wavelets to attain superresolution with noise filtering is described for a captured sequence of low-resolution frames without any ssumptions on grid (sampling lattice) structure. The approach is based on 2D methods. The rocedure allows the incorporation of the more gener

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Computational Methods for Data Analysis

Computational Methods for Data Analysis (De Gruyter Textbook) By 作者: Yeliz Karaca ISBN-10 书号: 3110496356 ISBN-13 书号: 9783110496352 Release Finelybook 出版日期: 2018-12-17 pages 页数: (395 ) $80.99 This graduate text covers a variety of mathematical and statistical tools for the analysis of big data comi

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Numerical Methods: Using MATLAB, 4th Edition

Numerical Methods: Using MATLAB By 作者: George Lindfield – John Penny ISBN-10 书号: 0128122560 ISBN-13 书号: 9780128122563 Edition 版本: 4 出版日期: 2018-10-30 pages 页数: (608 ) $99.95 The fourth edition of Numerical Methods Using MATLAB® provides a clear and rigorous introduction to a wide range of numerical

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Introduction to Communication Electronic Warfare Systems.pdf

Contents Preface xiii Acknowledgments xv Chapter 1 Communication Electronic Warfare Systems 1 1.1 Introduction 1 1.2 Information Warfare 1 1.3 Electronic Warfare 3 1.3.1 Electronic Support 3 1.3.2 Electronic Attack 4 1.3.3 Electronic Protect 4 1.4 Electronic Support 5 1.4.1 Low Probability of Detect

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Statistical Modeling by Wavelets

Statistical Modeling by Wavelets ISBN: 0471293652 Title: Statistical Modeling by Wavelets Author: Brani Vidakovic Publisher: Wiley-Interscience 3.2 Mb Format: pdf A comprehensive, step-by-step introduction to wavelets in statistics. What are wavelets? What makes them increasingly indispensable in

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BEYOND WAVELETS

Product Description "Beyond Wavelets" presents state-of-the-art theories, methods, algorithms, and applications of mathematical extensions for classical wavelet analysis. Wavelets, introduced 20 years ago by Morlet and Grossmann and developed very rapidly during the 1980's and 1990's, has created a

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Handbook of Biomedical Image Analysis(医学图像处理手册) - Volume I Segmentation Models Part A

医学图像处理手册(第一部分).这是从Springer上下载的原版电子书. 以下是其英文介绍. About this book Handbook of Biomedical Image Analysis: Segmentation Models (Volume I) is dedicated to the segmentation of complex shapes from the field of imaging sciences using different mathematical techniques. This volume is aimed at researchers a

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学术论文,EI检索过的

Directional Multiscale Modeling of Images using the Contourlet Transform The contourlet transform is a new two-dimensional extension of the wavelet transform using multiscale and directional filter banks. The contourlet expansion is composed of basis images oriented at various directions in multipl

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Foundations of Signal Processing

Our main goals in this book and its companion volume, Fourier and Wavelet Signal Processing (FWSP) [57], are to enable an understanding of state-of-the-art signal processing methods and techniques, as well as to provide a solid foundation for those hoping to advance the theory and practice of signal

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Use R!系列教程

R语言之Use R!系列 a beginer's Guide to R (use R).pdf7.21 MB Analysis of Phylogenetics and Evolution with R (use R).pdf1.07 MB Applied Econometrics with R (Use R).pdf3.7 MB Applied Spatial Data Analysis with R (use R).pdf7.47 MB Applied Statistical Genetics with R (use R).pdf2.47 MB A Primer of Ecology w

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基于多用途小波变换图像水印英文文献

To address copyright protection and content, authentication, researchers have proposed various digital watermarking methods.In this paper, an improved, multipurpose method is proposed where the authentication watermark and the robust watermark are embedded in the wavelet transform domain.Through a

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Speech Information Hiding Method Based on Itakura-Saito Measure

Abstract-Traditional speech information hiding methods have several disadvantages, for example, constant embedding amplitude, lower speech quality, higher bit error rate. A novel speech information hiding method based on Itakura-Saito measure and psychoacoustic model is proposed. The embedding ampli

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(ebook - electronics) - Digital Filter Techniques vs FFT Techniques for Damping Measurements (Bruel & Kjaer 1994).pdf

In this article several methods for measurements of damping are summarized with respect to their advantages and disadvantages. Especially the use of Digital Filters (DF) and Fast Fourier Transform (FFT) are compared. In general FFT analysis is best suited for heavily damped structures although with

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Learning.Quantitative.Finance.with.R.azw3

Key Features Understand the basics of R and how they can be applied in various Quantitative Finance scenarios Learn various algorithmic trading techniques and ways to optimize them using the tools available in R. Contain different methods to manage risk and explore trading using Machine Learning. Bo

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Signal Analysis Wavelets Filter Banks Time-Frequency Transforms and Applications

Signal analysis gives an insight into the properties of signals and stochastic processes by methodology. Linear transforms are integral to the continuing growth of signal processes as they characterize and classify signals. In particular, those transforms that provide time-frequency signal analysis

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