数字信号处理
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浙江杭州
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作者(美)米特拉 著,阔永红 改编
出版社电子工业出版社
ISBN9787121145971
出版时间2011-10
版次1
装帧平装
开本16开
纸张胶版纸
页数621页
字数99999千字
定价69元
上书时间2024-12-21
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基本信息
书名:数字信号处理
定价：69元
作者:(美)米特拉 著,阔永红 改编
出版社：电子工业出版社
出版日期：2011-10-01
ISBN：9787121145971
字数：1165000
页码：621
版次：1
装帧：平装
开本：16开
商品重量：
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内容提要
本书是在数字信号领域的经典教材Digital Signal Processing: A Computer-BasedApproach, FourthEdition的基础上改编而成的，内容涵盖了信号与信号处理、时域中的离散时间信号统、频域中的离散时间信号、离散时间系统、有限长离散变换、z变换、变换域中的LTI离散时间系统、数字滤波器结构、IIR数字滤波器设计、FIR数字滤波器设计、DSP算法实现等方面。本书的特点是，在讲解上述内容的同时，给出了大量简单而实用的例子，并用MATLAB程序进行了验证，同时提供了大量的高质量习题和仿真练习。
目录
Table of Contents1 Signals and Signal Processing 1.1 Characterization and Classification of Signals 1.2 Typical Signal Processing Operations 1.3 Examples of Typical Signals 1.4 Typical Signal Processing Applications 1.5 Why Digital Signal Processing?2 Discrete-Time Signals in the Time Domai 2.1 Time-Domain Representatio 2.2 Operations on Sequences 2.3 Operations on Finite-Length Sequences 2.4 Typical Sequences and Sequence Representatio 2.5 The Sampling Process 2.6 Correlation of Signals 2.7 Random Signals 2.8 Summary 2.9 Problems 2.10 MATLAB Exercises3 Discrete-Time Signals in the Frequency Domai 3.1 The Continuous-Time Fourier Transform 3.2 The Discrete-Time Fourier Transform 3.3 Discrete-Time Fourier Transform Theorems 3.4 Energy Density Spectrum of a Discrete-Time Sequence 3.5 Band-Limited Discrete-Time Signals 3.6 DTFT Computation Using MATLAB 3.7 The Unwrapped Phase Functio 3.8 Digital Processing of Continuous-Time Signals 3.9 Sampling of Bandpass Signals 3.10 Effect of Sample-and-Hold Operatio 3.11 Summary 3.12 Problems 3.13 MATLAB Exercises4 Discrete-Time Systems 4.1 Discrete-Time System Examples 4.2 Classification of Discrete-Time Systems 4.3 Impulse and Step Responses 4.4 Time-Domain Characterization of LTI Discrete-TimeSystems 4.5 Simple Interconnection Schemes 4.6 Finite-Dimensional LTI Discrete-Time Systems 4.7 Classification of LTI Discrete-Time Systems 4.8 Frequency-Domain Representations of LTI Discrete-TimeSystems 4.9 Phase and Group Delays 4.10 Summary 4.11 Problems 4.12 MATLAB Exercises5 Finite-Length Discrete Transforms 5.1 Orthogonal Transforms 5.2 The Discrete Fourier Transform 5.3 Relation Between the DTFT and the DFT and Their Inverses 5.4 Circular Convolutio 5.5 Classifications of Finite-Length Sequences 5.6 DFT Symmetry Relations 5.7 Discrete Fourier Transform Theorems 5.8 Fourier-Domain Filtering 5.9 Computation of the DFT of Real Sequences 5.10 Linear Convolution Using the DFT 5.11 Summary 5.12 Problems 5.13 MATLAB Exercises6 z-Transform 6.1 Definitio 6.2 Rational z-Transforms 6.3 Region of Convergence of a Rational z-Transform 6.4 The Inverse z-Transform 6.5 z-Transform Theorems 6.6 Computation of the Convolution Sum of Finite-LengthSequences 6.7 The Transfer Functio 6.8 Summary 6.9 Problems 6.10 MATLAB Exercises7 LTI Discrete-Time Systems in the Transform Domai 7.1 Transfer Function Classification Based on MagnitudeCharacteristics 7.2 Transfer Function Classification Based on PhaseCharacteristics 7.3 Types of Linear-Phase FIR Transfer Functions 7.4 Simple Digital Filters 7.5 Inverse Systems 7.6 Summary 7.7 Problems 7.8 MATLAB Exercises8 Digital Filter Structures 8.1 Block Diagram Representatio 8.2 Equivalent Structures 8.3 Basic FIR Digital Filter Structures 8.4 Basic IIR Digital Filter Structures 8.5 Realization of Basic Structures Using MATLAB 8.6 Allpass Filters 8.7 IIR Tapped Cascaded Lattice Structures 8.8 FIR Cascaded Lattice Structures 8.9 Summary 8.10 Problems 8.11 MATLAB Exercises9 IIR Digital Filter Desig 9.1 Preliminary Considerations 9.2 Bilinear TransformationMethod of IIR Filter Desig 9.3 Design of Lowpass IIR Digital Filters 9.4 Design of Highpass, Bandpass, and Bandstop IIR DigitalFilters 9.5 Spectral Transformations of IIR Filters 9.6 IIR Digital Filter Design Using MATLAB 9.7 Summary 9.8 Problems 9.9 MATLAB Exercises10 FIR Digital Filter Desig 10.1 Preliminary Considerations 10.2 FIR Filter Design Based on Windowed Fourier Series 10.3 Computer-Aided Design of Equiripple Linear-Phase FIRFilters 10.4 Design of Minimum-Phase FIR Filters 10.5 FIR Digital Filter Design Using MATLAB 10.6 Summary 10.7 Problems 10.8 MATLAB Exercises11 DSP Algorithm Implementatio 11.1 Basic Issues 11.2 Structure Simulation and Verification Using MATLAB 11.3 Computation of the Discrete Fourier Transform 11.4 Fast DFT Algorithms Based on Index Mapping 11.5 DFT and IDFT Computation Using MATLAB 11.6 Sliding Discrete Fourier Transform 11.7 DFT Computation over a Narrow Frequency Band 11.8 Summary 11.9 Problems 11.10 MATLAB ExercisesA Analog Lowpass Filter Desig A.1 Analog Filter Specifications A.2 Butterworth Appromatio A.3 Chebyshev Appromatio A.4 Elliptic Appromatio A.5 Linear-Phase Appromatio A.6 Analog Filter Design Using MATLAB A.7 Analog Lowpass Filter Design Examples A.8 A Comparison of the Filter Types A.9 Anti-Aliasing Filter Desig A.10 Reconstruction Filter DesigB Design of Analog Highpass, Bandpass, and Bandstop Filters B.1 Analog Highpass Filter Desig B.2 Analog Bandpass Filter Desig B.3 Analog Bandstop Filter DesigBibliography
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