數(shù)字信號(hào)處理

內(nèi)容概要

　　本書(shū)是在數(shù)字信號(hào)領(lǐng)域的經(jīng)典教材Digital Signal Processing: A Computer-Based
Approach, Fourth
Edition的基礎(chǔ)上改編而成的，內(nèi)容涵蓋了信號(hào)與信號(hào)處理、時(shí)域中的離散時(shí)間信號(hào)統(tǒng)、頻域中的離散時(shí)間信號(hào)、離散時(shí)間系統(tǒng)、有限長(zhǎng)離散變換、z變換、變換域中的LTI離散時(shí)間系統(tǒng)、數(shù)字濾波器結(jié)構(gòu)、IIR數(shù)字濾波器設(shè)計(jì)、FIR數(shù)字濾波器設(shè)計(jì)、DSP算法實(shí)現(xiàn)等方面。本書(shū)的特點(diǎn)是，在講解上述內(nèi)容的同時(shí)，給出了大量簡(jiǎn)單而實(shí)用的例子，并用MATLAB程序進(jìn)行了驗(yàn)證，同時(shí)提供了大量的高質(zhì)量習(xí)題和仿真練習(xí)。

書(shū)籍目錄

Table of Contents
1 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 Domain
　2.1 Time-Domain Representation
　2.2 Operations on Sequences
　2.3 Operations on Finite-Length Sequences
　2.4 Typical Sequences and Sequence Representation
　2.5 The Sampling Process
　2.6 Correlation of Signals
　2.7 Random Signals
　2.8 Summary
　2.9 Problems
　2.10 MATLAB Exercises
3 Discrete-Time Signals in the Frequency Domain
　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 Function
　3.8 Digital Processing of Continuous-Time Signals
　3.9 Sampling of Bandpass Signals
　3.10 Effect of Sample-and-Hold Operation
　3.11 Summary
　3.12 Problems
　3.13 MATLAB Exercises
4 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-Time
Systems
　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-Time
Systems
　4.9 Phase and Group Delays
　4.10 Summary
　4.11 Problems
　4.12 MATLAB Exercises
5 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 Convolution
　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 Exercises
6 z-Transform
　6.1 Definition
　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-Length
Sequences
　6.7 The Transfer Function
　6.8 Summary
　6.9 Problems
　6.10 MATLAB Exercises
7 LTI Discrete-Time Systems in the Transform Domain
　7.1 Transfer Function Classification Based on Magnitude
Characteristics
　7.2 Transfer Function Classification Based on Phase
Characteristics
　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 Exercises
8 Digital Filter Structures
　8.1 Block Diagram Representation
　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 Exercises
9 IIR Digital Filter Design
　9.1 Preliminary Considerations
　9.2 Bilinear TransformationMethod of IIR Filter Design
　9.3 Design of Lowpass IIR Digital Filters
　9.4 Design of Highpass, Bandpass, and Bandstop IIR Digital
Filters
　9.5 Spectral Transformations of IIR Filters
　9.6 IIR Digital Filter Design Using MATLAB
　9.7 Summary
　9.8 Problems
　9.9 MATLAB Exercises
10 FIR Digital Filter Design
　10.1 Preliminary Considerations
　10.2 FIR Filter Design Based on Windowed Fourier Series
　10.3 Computer-Aided Design of Equiripple Linear-Phase FIR
Filters
　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 Exercises
11 DSP Algorithm Implementation
　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 Exercises
A Analog Lowpass Filter Design
　A.1 Analog Filter Specifications
　A.2 Butterworth Approximation
　A.3 Chebyshev Approximation
　A.4 Elliptic Approximation
　A.5 Linear-Phase Approximation
　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 Design
　A.10 Reconstruction Filter Design
B Design of Analog Highpass, Bandpass, and Bandstop Filters
　B.1 Analog Highpass Filter Design
　B.2 Analog Bandpass Filter Design
　B.3 Analog Bandstop Filter Design
Bibliography

編輯推薦

Sanjit K. Mitra所著的《數(shù)字信號(hào)處理——基于計(jì)算機(jī)的方法(第4版英文改編版)》是數(shù)字信號(hào)處理的經(jīng)典教材，是作者在多年教學(xué)的基礎(chǔ)上編寫(xiě)而成的。其版本不斷更新，內(nèi)容涵蓋了離散時(shí)間信號(hào)、系統(tǒng)和現(xiàn)代數(shù)字信號(hào)處理的基礎(chǔ)知識(shí)。本書(shū)的每一章均從基本概念入手，詳細(xì)闡述各種基本理論與分析方法，并在介紹中給出了許多數(shù)字信號(hào)處理的應(yīng)用實(shí)例，以及基于MATLAB的仿真實(shí)驗(yàn)。在學(xué)習(xí)完本書(shū)以后，學(xué)生即可掌握數(shù)字信號(hào)處理的基礎(chǔ)知識(shí)及實(shí)際應(yīng)用。

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