數(shù)字信號(hào)處理

內(nèi)容概要

　　《國(guó)外電子與通信教材系列：數(shù)字信號(hào)處理（第3版·英文版）》全面討論了數(shù)字信號(hào)處理的基本概念、原理和應(yīng)用。全書(shū)共13章，主要包括離散序列和系統(tǒng)、離散傅里葉變換和其快速算法、有限和無(wú)限脈沖響應(yīng)的濾波器的設(shè)計(jì)基本原理的基本數(shù)字信號(hào)處理內(nèi)容，另外包括數(shù)字網(wǎng)絡(luò)和濾波器、離散希爾伯特變換、抽樣率的變換和信號(hào)平均、信號(hào)數(shù)字化及其影響的專(zhuān)業(yè)信號(hào)處理內(nèi)容。給出了多年總結(jié)出的數(shù)字信號(hào)處理的一些技巧，包括如何進(jìn)行復(fù)數(shù)的快速乘法、實(shí)序列的FFT變換、使用FFT的FIR濾波器設(shè)計(jì)等。附錄對(duì)數(shù)字信號(hào)處理涉及的數(shù)學(xué)知識(shí)和術(shù)語(yǔ)給出了詳細(xì)介紹和總結(jié)。相比于前版，本書(shū)每章都新增了部分內(nèi)容，并附了習(xí)題，便于讀者的自學(xué)。

書(shū)籍目錄

Chapter 1 Discrete Sequences and Systems1.1 DISCRETE SEQUENCES AND THEIR NOTATION1.2 SIGNAL AMPLITUDE, MAGNITUDE, POWER1.3 SIGNAL PROCESSING OPERATIONAL SYMBOLS1.4 INTRODUCTION TO DISCRETE LINEAR TIME-INVARIANT SYSTEMS1.5 DISCRETE LINEAR SYSTEMS1.5.1 Example of a Linear System1.5.2 Example of a Nonlinear System1.6 TIME-INVARIANT SYSTEMS1.6.1 Example of a Time-Invariant System1.7 THE COMMUTATIVE PROPERTY OF LINEAR TIME-INVARIANT SYSTEMS1.8 ANALYZING LINEAR TIME-INVARIANT SYSTEMSREFERENCESCHAPTER 1 PROBLEMSChapter 2 Periodic Sampling2.1 ALIASING: SIGNALAMBIGUITY IN THE FREQUENCY DOMAIN2.2 SAMPLING LOWPASS SIGNALS2.3 SAMPLING BANDPASS SIGNALS2.4 PRACTICAL ASPECTS OF BANDPASS SAMPLING2.4.1 Spectral Inversion in Bandpass Sampling2.4.2 Positioning Sampled Spectra at fs/42.4.3 Noise in Bandpass-Sampled SignalsREFERENCESCHAPTER 2 PROBLEMSCHAPTER 3 The Discrete Fourier Transform3.1 UNDERSTANDING THE DFT EQUATION3.1.1 DFT Example3.2 DFT SYMMETRY3.3 DFT LINEARITY3.4 DFT MAGNITUDES3.5 DFT FREQUENCY AXIS3.6 DFT SHIFTING THEOREM3.6.1 DFT Example 3.7 INVERSE DFT3.8 DFT LEAKAGE3.9 WINDOWS3.10 DFT SCALLOPING LOSS3.11 DFT RESOLUTION, ZERO PADDING, AND FREQUENCY-DOMAIN SAMPLING3.12 DFT PROCESSING GAIN3.12.1 Processing Gain of a Single DFT3.12.2 Integration Gain Due to Averaging Multiple DFTs3.13 THE DFT OF RECTANGULAR FUNCTIONS3.13.1 DFT of a General Rectangular Function3.13.2 DFT of a Symmetrical Rectangular Function3.13.3 DFT of an All-Ones Rectangular Function3.13.4 Time and Frequency Axes Associated with the DFT3.13.5 Alternate Form of the DFT of an All-Ones Rectangular Function3.14 INTERPRETING THE DFT USING THE DISCRETE-TIME FOURIER TRANSFORMREFERENCESCHAPTER 3 PROBLEMSChapter 4 The Fast Fourier Transform4.1 RELATIONSHIP OF THE FFT TO THE DFT4.2 HINTS ON USING FFTS IN PRACTICE4.2.1 Sample Fast Enough and Long Enough4.2.2 Manipulating the Time Data Prior to Transformation4.2.3 Enhancing FFT Results4.2.4 Interpreting FFT Results4.3 DERIVATION OF THE RADIX-2 FFT ALGORITHM4.4 FFT INPUT/OUTPUT DATA INDEX BIT REVERSAL4.5 RADIX-2 FFT BUTTERFLY STRUCTURES4.6 ALTERNATE SINGLE-BUTTERFLY STRUCTURESREFERENCESCHAPTER 4 PROBLEMSChapter 5 Finite Impulse Response Filters5.1 AN INTRODUCTION TO FINITE IMPULSE RESPONSE (FIR) FILTERS5.2 CONVOLUTION IN FIR FILTERS5.3 LOWPASS FIR FILTER DESIGN5.3.1 Window Design Method5.3.2 Windows Used in FIR Filter Design5.4 BANDPASS FIR FILTER DESIGN5.5 HIGHPASS FIR FILTER DESIGN5.6 PARKS-MCCLELLAN EXCHANGE FIR FILTER DESIGN METHOD5.7 HALF-BAND FIR FILTERS5.8 PHASE RESPONSE OF FIR FILTERS5.9 A GENERIC DESCRIPTION OF DISCRETE CONVOLUTION5.9.1 Discrete Convolution in the Time Domain5.9.2 The Convolution Theorem5.9.3 Applying the Convolution Theorem5.10 ANALYZING FIR FILTERS5.10.1 Algebraic Analysis of FIR Filters5.10.2 DFT Analysis of FIR Filters5.10.3 FIR Filter Group Delay Revisited5.10.4 FIR Filter Passband Gain5.10.5 Estimating the Number of FIR Filter TapsREFERENCESCHAPTER 5 PROBLEMSChapter 6 Infinite Impulse Response Filters6.1 AN INTRODUCTION TO INFINITE IMPULSE RESPONSE FILTERS6.2 THE LAPLACE TRANSFORM6.2.1 Poles and Zeros on the s-Plane and Stability6.3 THE z -TRANSFORM6.3.1 Poles, Zeros, and Digital Filter Stability6.4 USING THE z -TRANSFORM TO ANALYZE IIR FILTERS6.4.1 z -Domain IIR Filter Analysis6.4.2 IIR Filter Analysis Example6.5 USING POLES AND ZEROS TO ANALYZE IIR FILTERS6.5.1 IIR Filter Transfer Function Algebra6.5.2 Using Poles/Zeros to Obtain Transfer Functions6.6 ALTERNATE IIR FILTER STRUCTURES6.6.1 Direct Form I, Direct Form II, and Transposed Structures6.6.2 The Transposition Theorem6.7 PITFALLS IN BUILDING IIR FILTERS6.8 IMPROVING IIR FILTERS WITH CASCADED STRUCTURES6.8.1 Cascade and Parallel Filter Properties6.8.2 Cascading IIR Filters6.9 SCALING THE GAIN OF IIR FILTERS6.10 IMPULSE INVARIANCE IIR FILTER DESIGN METHOD6.10.1 Impulse Invariance Design Method 1 Example6.10.2 Impulse Invariance Design Method 2 Example6.11 BILINEAR TRANSFORM IIR FILTER DESIGN METHOD6.11.1 Bilinear Trans

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