A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
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发表时间：
2008-12
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通讯作者：
S. Mallat
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作者：
S. Mallat
马拉特的书是这一领域无可争议的参考-它是唯一一个涵盖了这种广度和深度的基本材料。- Laurent Demanet，斯坦福大学这本经典书籍的新版本给出了稀疏表示的所有主要概念，技术和应用，反映了该主题在当今信号处理中的关键作用。这本书清楚地提出了与傅立叶，小波和时间频率变换的标准表示，以及与快速算法正交基的建设。稀疏性的核心概念被解释并应用于信号压缩、降噪和逆问题，同时覆盖冗余字典、超分辨率和压缩感知应用中的稀疏表示。* 平衡数学与信号处理应用的演示 * 算法和数值示例在WaveLab（MATLAB工具箱）中实现 * 教师的配套网站和学生可用的选定解决方案和代码本版中的新内容 * 字典中的稀疏信号表示 * 压缩感知，超分辨率和源分离 * 使用曲波和带状波进行几何图像处理 * 使用曲面提升进行计算机图形的小波变换 * 时频音频处理和降噪 * 使用JPEG-2000进行图像压缩 * 新增和更新的练习信号处理小波之旅：稀疏方法，第三版，是研究人员和研发工程师希望在图像处理，视频处理和压缩、生物传感、医学成像、机器视觉和通信工程。Stephane Mallat是法国巴黎科尔理工学院应用数学教授。从1986年到1996年，他是纽约大学柯朗数学科学研究所的教授，2001年到2007年，他共同创立了一家图像处理半导体公司，并成为该公司的首席执行官。信号处理的数值之旅包括自1999年出版以来的所有最新发展，包括它在JPEG 2000和MPEG-4中的应用，算法和数值例子在MATLAB工具箱Wavelab中实现，平衡了数学表达和信号处理的应用
Mallat's book is the undisputed reference in this field - it is the only one that covers the essential material in such breadth and depth. - Laurent Demanet, Stanford UniversityThe new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms. The central concept of sparsity is explained and applied to signal compression, noise reduction, and inverse problems, while coverage is given to sparse representations in redundant dictionaries, super-resolution and compressive sensing applications.Features:* Balances presentation of the mathematics with applications to signal processing* Algorithms and numerical examples are implemented in WaveLab, a MATLAB toolbox* Companion website for instructors and selected solutions and code available for studentsNew in this edition* Sparse signal representations in dictionaries* Compressive sensing, super-resolution and source separation* Geometric image processing with curvelets and bandlets* Wavelets for computer graphics with lifting on surfaces* Time-frequency audio processing and denoising* Image compression with JPEG-2000* New and updated exercisesA Wavelet Tour of Signal Processing: The Sparse Way, third edition, is an invaluable resource for researchers and R&D engineers wishing to apply the theory in fields such as image processing, video processing and compression, bio-sensing, medical imaging, machine vision and communications engineering.Stephane Mallat is Professor in Applied Mathematics at cole Polytechnique, Paris, France. From 1986 to 1996 he was a Professor at the Courant Institute of Mathematical Sciences at New York University, and between 2001 and 2007, he co-founded and became CEO of an image processing semiconductor company.Companion website: A Numerical Tour of Signal Processing Includes all the latest developments since the book was published in 1999, including itsapplication to JPEG 2000 and MPEG-4Algorithms and numerical examples are implemented in Wavelab, a MATLAB toolboxBalances presentation of the mathematics with applications to signal processing