图书信息作
者： （加）曼达尔，（加）阿赛夫 著
出 版 社：人民邮电出版社
出版时间： 2010-4-1
字数： 880000
页数： 865
开本： 16开
纸张： 胶版纸
I S B N ： 9787115223944
包装： 平装
定价：119.00
作者简介Mrinal Mandal加拿大阿尔伯塔大学电气与计算机工程系副教授。主要研究兴趣包括多媒体信号处理、医用图像与视频分析、图像与视频压缩，以及用于实时信号与图像处理的VLSI架构。
目录Part IIntroduction to signals and systems
1Introduction to signals
1.1Classification of signals
1.2Elementary signals
1.3Signal operations
1.4Signal implementation with MATLAB
1.5Summary
Problems
2Introduction to systems
2.1Examples of systems
2.2Classification of systems
2.3Interconnection of systems
2.4Summary
Problems
Part IIContinuous-time signals and systems
3Time-domain analysis of LTIC systems
3.1Representation of LTIC systems
3.2Representation of signals using Dirac delta functions
3.3Impulse response of a system
3.4Convolution integral
3.5Graphical method for evaluating the convolution integral
3.6Properties of the convolution integral
3.7Impulse response of LTIC systems
3.8Experiments with MATLAB
3.9Summary
Problems
4Signal representation using Fourier series
4.1Orthogonal vector space
4.2Orthogonal signal space
4.3Fourier basis functions
4.4Trigonometric CTFS
4.5Exponential Fourier series
4.6Properties of exponential CTFS
4.7Existence of Fourier series
4.8Application of Fourier series
4.9Summary
Problems
5Continuous-time Fourier transform
5.1CTFT for aperiodic signals
5.2Examples of CTFT
5.3Inverse Fourier transform
5.4Fourier transform of real, even, and odd functions
5.5Properties of the CTFT
5.6Existence of the CTFT
5.7CTFT of periodic functions
5.8CTFS coefficients as samples of CTFT
5.9LTIC systems analysis using CTFT
5.10MATLAB exercises
5.11Summary
Problems
6Laplace transform
6.1Analytical development
6.2Unilateral Laplace transform
6.3Inverse Laplace transform
6.4Properties of the Laplace transform
6.5Solution of differential equations
6.6Characteristic equation, zeros, and poles
6.7Properties of the ROC
6.8Stable and causal LTIC systems
6.9LTIC systems analysis using Laplace transform
6.10Block diagram representations
6.11Summary
Problems
7Continuous-time filters
7.1Filter classification
7.2Non-ideal filter characteristics
7.3Design of CT lowpass filters
7.4Frequency transformations
7.5Summary
Problems
8Case studies for CT systems
8.1Amplitude modulation of baseband signals
8.2Mechanical spring damper system
8.3Armature-controlled dc motor
8.4Immune system in humans
8.5Summary
Problems
Part IIIDiscrete-time signals and systems
9Sampling and quantization
9.1Ideal impulse-train sampling
9.2Practical approaches to sampling
9.3Quantization
9.4Compact disks
9.5Summary
Problems
10Time-domain analysis of discrete-time systems systems
10.1Finite-difference equation representation of LTID systems
10.2Representation of sequences using Dirac delta functions
10.3Impulse response of a system
10.4Convolution sum
10.5Graphical method for evaluating the convolution sum
10.6Periodic convolution
10.7Properties of the convolution sum
10.8Impulse response of LTID systems
10.9Experiments with MATLAB
10.10Summary
Problems
11Discrete-time Fourier series and transform
11.1Discrete-time Fourier series
11.2Fourier transform for aperiodic functions
11.3Existence of the DTFT
11.4DTFT of periodic functions
11.5Properties of the DTFT and the DTFS
11.6Frequency response of LTID systems
11.7Magnitude and phase spectra
11.8Continuous-and discrete-time Fourier transforms
11.9Summary
Problems
12Discrete Fourier transform
12.1Continuous to discrete Fourier transform
12.2Discrete Fourier transform
12.3Spectrum analysis using the DFT
12.4Properties of the DFT
12.5Convolution using the DFT
12.6Fast Fourier transform
12.7Summary
Problems
13The z-transform
13.1Analytical development
13.2Unilateral z-transform
13.3Inverse z-transform
13.4Properties of the z-transform
13.5Solution of difference equations
13.6z-transfer function of LTID systems
13.7Relationship between Laplace and z-transforms
13.8Stabilty analysis in the z-domain
13.9Frequency-response calculation in the z-domain
13.10DTFT and the z-transform
13.11Experiments with MATLAB
13.12Summary
Problems
14Digital filters
14.1Filter classification
14.2FIR and IIR filters
14.3Phase of a digital filter
14.4Ideal versus non-ideal filters
14.5Filter realization
14.6FIR filters
14.7IIR filters
14.8Finite precision effect
14.9MATLAB examples
14.10Summary
Problems
15FIR filter design
15.1Lowpass filter design using windowing method
15.2Design of highpass filters using windowing
15.3Design of bandpass filters using windowing
15.4Design of a bandstop filter using windowing
15.5Optimal FIR filters
15.6MATLAB examples
15.7Summary
Problems
16IIR filter design
16.1IIR filter design principles
16.2Impulse invariance
16.3Bilinear transformation
16.4Designing highpass, bandpass, and bandstop IIR filters
16.5IIR and FIR filters
16.6Summary
Problems
17Applications of digital signal processing
17.1Spectral estimation
17.2Digital audio
17.3Audio filtering
17.4Digital audio compression
17.5Digital images
17.6Image filtering
17.7Image compression
17.8Summary
Problems
Appendix AMathematical preliminaries
A.1Trigonometric identities
A.2Power series
A.3Series summation
A.4Limits and differential calculus
A.5Indefinite integrals
Appendix BIntroduction to the complex-number system
B.1Real-number system
B.2Complex-number system
B.3Graphical interpertation of complex numbers
B.4Polar representation of complex numbers
B.5Summary
Problems
Appendix CLinear constant-coefficient differential equations
C.1Zero-input response
C.2Zero-state response
C.3Complete response
Appendix DPartial fraction expansion
D.1Laplace transform
D.2Continuous-time Fourier transform
D.3Discrete-time Fourier transform
D.4The z-transform
Appendix EIntroduction to MATLAB
E.1Introduction
E.2Entering data into MATLAB
E.3Control statements
E.4Elementary matrix operations
E.5Plotting functions
E.6Creating MATLAB functions
E.7Summary
Appendix FAbout the CD
F.1Interactive environment
F.2Data
F.3MATLAB codes
Bibliography
Index
