Content Description
This book system discusses the basic theories and methods of discrete time signal processing, and is a classic textbook in the field of international signal processing. The content includes discrete time signals and systems, z transform, continuous time signal sampling, linear constant system transformation analysis, discrete time system structure, filter design method, discrete Fourier transform, discrete Fu Rioli transformation calculation, utilization Signal Fourier Analysis, Parameter Signal Modeling, Dispersion Hilbert Transform, RF Analysis, and Relievances. This book is expropriated and has a rich and practical value.
directory
translator
foreword
Acknowledgment
Examples Board
Chapter 1 Theory
Chapter 2 Discrete Time Signal and System
2.0 Introduction
2. Discrete Time Signal: Sequence
2.1. 1 Basic sequence and sequence operation
2.2 Discrete time system
2.2.1 Non-memory system
2.2.2 Linear System
2.2 .3 When the constant system
2.2.4 causality
2.2.5 Stability
2.3 Linear When the system
2.4 Nature of the linear When the nature of the constant system
2.5 Linear General Differential equations
2.6 discrete time signals and system frequency domains
2.6.1 linear The characteristic function of the constant system
2.6.2 Suddenly coupled with the complex index input
2.7 Fourier transform indicates the sequence
2.8 Fourier transformation Symmetric properties
2.9 Fourier transform theorem
2.9.1 Fourier transform linear
2.9.2 time shift and frequency shift
2.9.3 Time Inverted
2.9.4 Frequency Domain Differential
2.9.5 Pasvall Theorem
2.9.6 Convolution
2.9.7 modulation or windowing theorem
2.10 discrete time random signal
2.1 small knot
exercise
3 chapter z Transform
3.0 Introduction
3.1 z Transform
3.2 z Transform convergence domain
3.3 z reverse transformation
3.3.1 Observation method
3.3.2 Partial Formula Expand method
3.3.3 Power Series Expand method
3.4 z Transform Nature
3.4.1 Linear
3.4.2 Transfer
3.4.3 by the index sequence
3.4.4 X (z) Differential
3.4.6 Time Inverted
3.4.7 Sequence Convolution3.4.8 Initial Theorem
3.4.9 Several Z Transform Properties List
3.5 Smart
Exercise
4th Sampling of the continuous time signal
4.0 Introduction
4.1 cycle sampling
4.2 The frequency domain represents
4.3 by the sample reconstruction limit signal
4.4 consecutive time processing
4.4.1 linearity does not change discrete Time system
4.4.2 Pulse response unchanged
4.5 discrete time signals
4.6 utilizing discrete time processing change sampling rate
4.6.1 Sampling Rate Reduction
4.6.2 Sampling Rate is added
4.6.3 Sampling Rate by Non-Integer Factor
4.7 Multi-Sampling Rate Signal Processing
4.7.1 Filtering and Decan Sample / Charging Sample Interchange
4.7.2 Multi-Phase Decomposition
4.7 .3 Extracting the multiphase implementation of the filter
4.7.4 Digital processing of the insert filter
4.8 analog signals
4.8.1 Eliminate mixed pre-filter
4.8.2 Simulation to digital (A / D) Conversion
4.8.3 Quantization Error Analysis
4.8.4 D / A Conversion
4.9 Over Sampling and Noise Forming in A / D and D / A Conversion
4.9.1 Direct Quantitative Sampling A / D Conversion
4.9.2 Coordinate A / D conversion with noise
4.9.3 In D / A conversion
4.10 small knot
exercises
Chapter 5 Transformation analysis of linear constant system
Chapter 6 Discrete Time System Structure
Chapter 7 Filter Design Method
Chapter 8 Discrete Fourier Transform
Chapter 9 Calculation of Discrete Fourier Transform
Chapter 10 Using Discrete Fourier Transform Signal Fourier Analysis
Chapter 11 Discrete Hilbert Transform
Appendix A Random Signal
Appendix B Continuous Time Filter
Appendix C Collection Basic Questions Answers
Reviews
Book Review
Theory is developing with a discipline, there is no theory It is difficult to talk about development. And this book is in theory, it is a good book that should be read.
Part of this book is to speak theory analysis, part of the application design, both of which are important.
But many people think that this book is not important, mainly because this book is too basic, and many people have some simple things on the above, so I don't think it is many.
To do engineering, it should be combined, speech signal processing, signal statistical analysis and processing, adaptive signal processing, time-frequency analysis.
This book is a foundation, good foundation, and strong theory can have original theoretical development. To strengthen theory, you should read this book. However, there are many places in this book, and there are many places where the wrong place is.