信号处理的小波导引
￥ 38.96 6.0折 ￥ 65 九五品
仅1件
作者(法)马拉特(Mallat,s.)著
出版社机械工业出版社
ISBN9787111127680
出版时间2003-09
版次1
装帧平装
开本16开
纸张胶版纸
页数637页
定价65元
上书时间2024-12-05
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基本信息
书名:信号处理的小波导引
定价：65.00元
作者:(法)马拉特(Mallat,s.)著
出版社：机械工业出版社
出版日期：2003-09-01
ISBN：9787111127680
字数：
页码：637
版次：1
装帧：平装
开本：其他
商品重量：
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内容提要
本书取材于作者在多所国际知名大学讲授”小波信号处理”课程时的讲义，作者以信号处理的问题为背景，用浅显的数学语言阐述小波理论及应用，使读者可以透过复杂的数学公式来窥探小波的精髓，但又不致陷入小波纯数学理论的迷宫。 本书既可以让计算机及电子工程系的学生了解工程问题的数学描述．又可以让数学系的学生了解数学公式的工程意义，是一本极有价值的教材及参考书。
目录
PREFACEPREFACE TO THE SECOND EDITION NOTATION I INTRODUCTION TO A TRANSIENT WORLD 1.1 Fourier Kingdom 1.2 Time-Frequency Wedding 1.2.1 Windowed Fourier Transform 1.2.2 Wavelet Transform 1.3 Bases of Time-Frequency Atoms 1.3.1 Wavelet Bases and Filter Banks 1.3.2 Tilings of Wavelet Packet and Local Cosine Bases 1.4 Bases for What? 1.4.1 Appromation 1.4.2 Estimation 1.4.3 Compression 1.5 Travel Guide 1.5.1 Reproducible Computational Science 1.5.2 Road MapII FOURIER KINGDOM 2.1 Linear Time-Invariant Filtering 2.1.1 Impulse Response 2.1.2 Transfer Functions 2.2 Fourier Integrals 2.2.1 Fourier Transform in L1(R) 2.2.2 Fourier Transform in L2(R) 2.2.3 Examples 2.3 Properties 2.3.1 Regularity and Decay 2.3.2 Uncertainty Principle 2.3.3 Total Variation 2.4 Two-Dimensional Fourier Transform 2.5 ProblemsIII DISCRETE REVOLUTION 3.1 Sampling Analog Signals 3.1.1 Whittaker Sampling Theorem 3.1.2 Aliasing 3.1.3 General Sampling Theorems 3.2 Discrete Time-Invariant Filters 3.2.1 Impulse Response and Transfer Function 3.2.2 Fourier Series 3.3 Finite Signals 3.3.1 Circular Convolutions 3.3.2 Discrete Fourier Transform 3.3.3 Fast Fourier Transform 3.3.4 Fast Convolutions 3.4 Discrete Image Processing 3.5 ProblemsIV TIME MEETS FREQUENCY 4.1 Time-Frequency Atoms 4.2 Windowed Fourier Transform 4.2.1 Completeness and Stability 4.2.2 Choice of Window 2 4.2.3 Discrete Windowed Fourier Transform 4.3 Wavelet Transforms 4.3.1 Real Wavelets 4.3.2 Analytic Wavelets 4.3.3 Discrete Wavelets 4.4 Instantaneous Frequency 4.5 Quadratic Tune-Frequency Energy 4.6 ProblemsV FRAMES 5.1 Frame Theory 5.2 Windowed Fourier Frames 5.3 Wavelet Frames 5.4 Translation Invariance 5.5 Dyadic Wavelet Transform 5.6 ProblemsVI WAVELET ZOOM 6.1 Lipschitz Regularity 6.2 Wavelet Transform Modulus Mama 6.3 Multiscale Edge Detection 6.4 Multifractals 6.5 ProblemsVII WAVELET BASES 7.1 Orthogonal Wavelet Bases 7.2 Classes of Wavelet Bases 7.3 Wavelets and Filter Banks 7.4 Biorthogonal Wavelet Bases 7.5 Wavelet Bases on an Interval IX AN APPROXIMATION TOUR 9.1 Linear Appromations 9.2 Non-Linear Appromations 9.3 Image Appromations with Wavelets 9.4 Adaptive Basis Selection ESTIMATIONS ARE APPROXIMATIONSXI TRANSFORM CODINGAppendix A MATHEMATICAL COMPLEMENTSAppendix B SOFTWARE TOOLBOXESBIBLIOGRAPHYINDEX
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