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數(shù)字信號(hào)處理(英文版)

數(shù)字信號(hào)處理(英文版)

定 價(jià):¥39.80

作 者: 蔡坤寶 編著
出版社: 電子工業(yè)出版社
叢編項(xiàng):
標(biāo) 簽: 數(shù)字信號(hào)處理

ISBN: 9787121047633 出版時(shí)間: 2007-08-01 包裝: 平裝
開(kāi)本: 16 頁(yè)數(shù): 392 字?jǐn)?shù):  

內(nèi)容簡(jiǎn)介

  《數(shù)字信號(hào)處理(英文版)》系統(tǒng)地闡述了數(shù)字信號(hào)處理所涉及的信號(hào)與系統(tǒng)分析和系統(tǒng)設(shè)計(jì)的基本理論、基本分析與設(shè)計(jì)方法、基本算法和處理技術(shù)。全書共10章,主要內(nèi)容包括:離散時(shí)間信號(hào)與系統(tǒng)的基本概念,離散時(shí)間信號(hào)與系統(tǒng)的變換域分析,包括z變換和離散時(shí)間傅里葉變換、連續(xù)時(shí)間信號(hào)的抽樣與重建,離散傅里葉變換及其快速算法(FFT),數(shù)字濾波器實(shí)現(xiàn)的基本結(jié)構(gòu),IIR和FIR 數(shù)字濾波器的設(shè)計(jì)原理與基本設(shè)計(jì)方法,數(shù)字信號(hào)處理中的有限字長(zhǎng)效應(yīng),多抽樣率數(shù)字信號(hào)處理。《數(shù)字信號(hào)處理(英文版)》配有多媒體電子課件、英文版教學(xué)大綱、習(xí)題指導(dǎo)與實(shí)驗(yàn)手冊(cè)?!稊?shù)字信號(hào)處理(英文版)》可以作為電子與通信相關(guān)專業(yè)的本科數(shù)字信號(hào)處理課程中英文雙語(yǔ)教學(xué)的教材,或中文授課的英文版教學(xué)參考書,也可供從事數(shù)字信號(hào)處理的工程技術(shù)人員學(xué)習(xí)參考。本書尤其適合初步開(kāi)展數(shù)字信號(hào)處理課程中英文雙語(yǔ)授課的教師與學(xué)生選用。

作者簡(jiǎn)介

  蔡坤寶,博士,重慶大學(xué)通信工程學(xué)院教授,信號(hào)與信息處理碩士學(xué)位點(diǎn)負(fù)責(zé)人。多年來(lái)致力于隨機(jī)信號(hào)的產(chǎn)生與處理、生物組織粘彈性波動(dòng)的有限元分析、現(xiàn)代信號(hào)處理及其應(yīng)用和人工神經(jīng)網(wǎng)絡(luò)等方面的研究工作。十余年來(lái),積極探索和實(shí)施中英文雙語(yǔ)教學(xué),現(xiàn)任重慶市級(jí)精品課程“信號(hào)與線性系統(tǒng)”的負(fù)責(zé)人,并參加重慶大學(xué)精品課程“數(shù)字信號(hào)處理”的建設(shè)工作。

圖書目錄

1 Introduction
 1.1 What Is a Signal?
 1.2 What Is a System?
 1.3 What Is Signal Processing?
 1.4 Classification of Signals
  1.4.1 Deterministic and Random Signals
  1.4.2 Continuous-Time and Discrete-Time Signals
  1.4.3 Periodic Signals and Nonperiodic Signals
  1.4.4 Energy Signals and Power Signals
 1.5 Overview of Digital Signal Processing
2 Discrete-Time Signals and Systems
 2.1 Discrete-Time Signals: Sequences
  2.1.1 Operation on Sequences
 2.2 Basic Sequences
  2.2.1 Some Basic Sequences
  2.2.2 Periodicity of Sequences
  2.2.3 Representation of Arbitrary Sequences
 2.3 Discrete-Time systems
  2.3.1 Classification of Discrete-Time systems
 2.4 Time-Domain Representations of LTI Systems
  2.4.1 The Linear Convolution Sum
  2.4.2 Interconnections of LTI Systems
  2.4.3 Stability Condition of LTI systems
  2.4.4 Causality Condition of LTI systems
  2.4.5 Causal and Anticausal Sequences
 2.5 Linear Constant-Coefficient Difference Equations
  2.5.1 Recursive Solution of Difference Equations
  2.5.2 Classical Solution of Difference Equations
  2.5.3 Zero-Input Response and Zero-State Response
  2.5.4 The Impulse Response of Causal LTI Systems
  2.5.5 Recursive Solution of Impulse Responses
  2.5.6 Classification of LTI Discrete-Time Systems
  Problems
3 Transform-Domain Analysis of Discrete-Time Signals and Systems
 3.1 The z-Transform
  3.1.1 Definition of the z-Transform
  3.1.2 A General Shape of the Region of Convergence
  3.1.3 Uniqueness of the z-Transform
 3.2 Relation Between the ROCs and Sequence Types
 3.3 The z-Transform of Basic Sequences
 3.4 The Inverse z-Transform
  3.4.1 Contour Integral Method
  3.4.2 Partial Fraction Expansion Method
  3.4.3 Long Division Method
  3.4.4 Power Series Expansion Method
 3.5 Properties of the z-Transform
 3.6 The Discrete-Time Fourier Transform
  3.6.1 Definition of the Discrete-Time Fourier Transform
  3.6.2 Convergence Criteria
  3.6.3 Properties of the Discrete-Time Fourier Transform
  3.6.4 Symmetry Properties of the Discrete-Time Fourier Transform
 3.7 Transform-Domain Analysis of LTI Discrete-Time Systems
  3.7.1 The Frequency Response of Systems
  3.7.2 The Transfer Function of LTI Systems
  3.7.3 Geometric Evaluation of the Frequency Response
 3.8 Sampling of Continuous-Time Signals
  3.8.1 Periodic Sampling
  3.8.2 Reconstruction of Bandlimited Signals
 3.9 Relations of the z-Transform to the Laplace Transform
 Problems
4 The Discrete Fourier,Transform
 4.1 The Discrete Fourier Series
 4.2 Properties of the Discrete Fourier Series
  4.2.1 Evaluation of the Periodic Convolution Sum
 4.3 The Discrete Fourier Transform
 4.4 Properties of the Discrete Fourier Transform
  4.4.1 Circular Convolution Theorems
 4.5 Linear Convolutions Evaluated by the Circular Convolution
 4.6 Linear Time-Invariant Systems Implemented by the DFT
 4.7 Sampling and Reconstruction in the z-Domain
 4.8 Fourier Analysis of Continuous-Time Signals Using the DFT
  4.8.1 Fourier Analysis of Nonperiodic Continuous-Time Signals
  4.8.2 Practical Considerations
  4.8.3 Spectral Analysis of Sinusoidal Signals
 Problems
5 Fast Fourier Transform Algorithms
 5.1 Direct Computation and Efficiency Improvement of the DFT
 5.2 Decimation-in-Time FFT Algorithm with Radix-2
  5.2.1 Butterfly-Branch Transmittance of the Decimation-in-Time FFT
  5.2.2 In-Place Computations
 5.3 Decimation-in-Frequency FFT Algorithm with Radix-2
 5.4 Computational Method of the Inverse FFT
 Problems
6 Digital Filtor Structures
 6.1 Description of the Digital Filter Structures
 6.2 Basic Structures for I1R Digital Filters
  6.2.1 Direct Form
  6.2.2 Direct Form
  6.2.3 Cascade Form
  6.2.4 Parallel Form
 6.3 Basic Structures for FIR Digital Filters
  6.3.1 Direct Forms
  6.3.2 Cascade Forms
  6.3.3 Linear-Phase Forms
  6.3.4 Frequency Sampling Form
 Problems
7 Design Techniques of Digital IIR Filters
 7.1 Preliminary Considerations
  7.1.1 Frequency Response of Digital Filters
 7.2 Discrete-Time Systems Characterized by Phase Properties
 7.3 Allpass Systems
  7.3.1 Nonminimum-Phase Systems Represented by a Cascade Connection
  7.3.2 Group Delay of the Minimum-Phase Systems
  7.3.3 Energy Delay of the Minimum-Phase Systems
 7.4 Analog-to-Digital Filter Transformations
  7.4.1 Impulse Invariance Transformation
  7.4.2 Step Invariance Transformation
  7.4.3 Bilinear Transformation
 7.5 Design of Analog Prototype Filters
  7.5.1 Analog Butterworth Lowpass Filters
  7.5.2 Analog Chebyshev Lowpass Filters
 7.6 Design of Lowpass IIR Digital Filters
  7.6.1 Design of Lowpass Digital Filters Using the Impulse Invariance
  7.6.2 Design of Lowpass Digital Filters Using the Bilinear Transformation
 7.7 Design of IIR Digital Filters Using Analog Frequency Transformations
  7.7.1 Design of Bandpass IIR Digital Filters
  7.7.2 Design of Bandstop I]R Digital Filters
  7.7.3 Design of Highpass IIR Digital Filters
 7.8 Design of IIR Digital Filters Using Digital Frequency Transformations
  7.8.1 Lowpass-to-Lowpass Transformation
  7.8.2 Lowpass-to-Highpass Transformation
  7.8.3 Lowpass-to-Bandpass Transformation
  7.8.4 Lowpass-to-Bandstop Transformation
 Problems
8 Design of FIR Digital Filters
 8.1 Properties of Linear Phase FIR Filters
  8.1.1 The Impulse Response of Linear-Phase FIR Filters
  8.1.2 The Frequency Response of Linear-Phase FIR Filters
  8.1.3 Characteristics of Amplitude Functions
  8.1.4 Constraints on Zero Locations
 8.2 Design of Linear-Phase FIR Filters Using Windows
  8.2.1 Basic Techniques
  8.2.2 Window Functions
  8.2.3 Design of Linear-Phase FIR Lowpass Filters Using Windows
  8.2.4 Design of Linear-Phase FIR Bandpass Filters Using Windows
  8.2.5 Design of Linear-Phase FIR Highpass Filters Using Windows
  8.2.6 Design of Linear-Phase FIR Bandstop Filters Using Windows
 Problems
9 Finite-Wordlength Effects in Digital Signal Processing
 9.1 Binary Number Representation with its Quantization Errors
  9.1.1 Fixed-Point Binary Representation of Numbers
  9.1.2 Floating-Point Representation
  9.1.3 Errors from Truncation and Rounding v
  9.1.4 Statistical Model of the Quantization Errors
 9.2 Analysis of the Quantization Errors in A/D Conversion
  9.2.1 Statistical Model of the Quantization Errors
  9.2.2 Transmission of the Quantization Noise through LTI Systems
 9.3 Coefficient Quantization Effects in Digital Filters
  9.3.1 Coefficient Quantization Effects in IIR Digital Filters
  9.3.2 Statistical Analysis of Coefficient Quantization Effects
  9.3.3 Coefficient Quantization Effects in FIR Filters
 9.4 Round-off Effects in Digital Filters
  9.4.1 Round-off Effects in Fixed-Point Realizations of ILR Filters
  9.4.2 Dynamic Range Scaling in Fixed-Point Implementations of IIR Filters
 9.5 Limit-Cycle Oscillations in Realizations of IIR Digital Filters
  9.5.1 Zero-Input Limit Cycle Oscillations
  9.5.2 Limit Cycles Due to Overflow
 9.6 Round-off Errors in FFT Algorithms
  9.6.1 Round-off Errors in the Direct DFT Computation
  9.6.2 Round-off Errors in Fixed-point FFT Realization
 Problems
10 Multirate Digital Signal Processing
 10.1 Sampling Rate Changed by an Integer Factor
  10.1.1 Downsampling with an Integer Factor M
  10.1.2 Decimation by an Integer Factor M
  10.1.3 Upsampling with an Integer Factor L
  10.1.4 Interpolation by an Integer Factor L
 10.2 Sampling Rate Conversion by a Rational Factor
 10.3 Efficient Structures for Sampling Rate Conversion
  10.3.1 Equivalent Cascade Structures
  10.3.2 Polyphase Decompositions
  10.3.3 Polyphase Realization of Decimation Filters
  10.3.4 Polyphase Realization of Interpolation Filters
 Problems
Appendix A Tables for the z-Transform
Appendix B Table for Properties of the Discrete-Time Fourier Transform
Appendix C Table for Properties of the Discrete Fourier Series
Appendix D Table for Properties of the Discrete Fourier Transform
Appendix E Table for the Normalized Butterworth Lowpass Filters
Appendix F Answers To Partial Problems
References

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