Section 1 Signals and Their Classification

First, the concept of signal

Second, the classification of signals.

Overview of signal analysis and processing in the second quarter

Section 3 Signal Analysis and Processing in Automatic Control System

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Chapter II Continuous Signal Analysis

Section 1 Time Domain Description and Analysis of Continuous Signals

First, the time domain description of continuous signals.

Second, the time domain operation of continuous signals

Third, signal decomposition.

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Section 2 Frequency Domain Analysis of Continuous Signals

First, the spectrum analysis of periodic signals.

Second, the spectrum analysis of aperiodic signals

Third, the essence of Fourier transform

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Section 3 Complex Frequency Domain Analysis of Continuous Signals

First, the Laplace transform of the signal.

Second, the complex frequency domain analysis of the signal

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The fourth quarter signal correlation analysis

I. Correlation coefficient

Second, the correlation function

Second, the related theorem

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Chapter III Discrete Signal Analysis

Section 1 Description and Analysis of Discrete Signals in Time Domain

I. signal sampling and recovery

Second, time domain sampling theorem.

Third, frequency domain sampling theorem.

Fourthly, the description of discrete signals.

5. Time domain operation of discrete signals

Section 2 Frequency Domain Analysis of Discrete Signals

Frequency domain analysis of 1. periodic signal

Secondly, frequency domain analysis of aperiodic signals.

Thirdly, discrete Fourier transform.

Section 3 Fast Fourier Transform (FFT)

First, the basic idea of fast Fourier transform

Second, radix-2FFT algorithm

Third, the application of FFT

Z-domain analysis of discrete signals in the fourth quarter

I. Z-transform of discrete signals

Second, the relationship between Z transformation and other transformations

Section 5 Overview of Signal Analysis

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Chapter IV Basis of Signal Processing

The first section system and its properties

First, the system description

Second, the nature of the system.

Linear system processing of signal in the second quarter

First, time domain analysis

Second, frequency domain analysis.

Thirdly, complex frequency domain analysis.

Section 3 Deconvolution (Inverse Filtering and System Identification)

First, the system identification problem.

Second, the inverse filtering problem

Thirdly, deconvolution of homomorphic systems.

The fourth quarter digital signal processing technology

First, the characteristics of digital signal processing

Second, the realization of digital signal processing

Thirdly, the influence of finite word length on digital signal processing.

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Chapter V Filters

Section 1 filter overview

I. Basic principles of filtration and filters

Second, the classification of filters

Third, the technical requirements of the filter

Section 2 Analog Filter

I. Overview

Second, Butterworth low-pass filter.

Thirdly, Chebyshev low-pass filter

Fourth, the frequency transformation of analog filter

Verb (abbreviation of verb) RC active filter

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Section 3 Digital Filter

I. Overview

Secondly, infinite impulse response (IIR) digital filter.

3. Finite impulse response (FIR) digital filter

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Chapter VI Basis of Random Signal Analysis and Processing

Section 1 Description of Random Signals

A, random signal and its probability structure

Second, the digital characteristics of time-domain random signals

Third, the frequency domain description of random signals

In the second quarter, through the analysis of random signals of linear systems

1. Stationary random signals pass through continuous systems.

Second, stationary random signals pass through discrete systems.

Third, the analysis of the transformation process

Section 3 Optimal Linear Filtering

First, Wiener filtering.

Second, Kalman filtering.

Section 4 Introduction of Modern Signal Analysis and Processing

1. Parameter model and power spectrum estimation

Second, adaptive signal processing.

Thirdly, the time-frequency domain analysis of signals.

Fourthly, wavelet analysis of signals.

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Appendix MATLAB-based signal analysis and

Processing basis

The first section MATLAB quick start

Introduction to 1.MATLAB

Second, the command window, graphic window and online help of MATLAB.

Third, M file programming

Four. Introduction to Simulink

Section 2 Signal Analysis and Processing Based on MATLAB

First, continuous-time signal analysis

Second, discrete time signal analysis

Thirdly, continuous-time system analysis.

Fourthly, discrete-time system analysis.

Design of verb (abbreviation of verb) Analog Filter

Sixth, the design of digital filter.

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Brief introduction of the author

Zhao Guangzhou, 1946 was born, 1970 graduated from Tsinghua University, majoring in industrial electrical automation, 198 1 and 1988 received a master's degree in industrial automation and a doctor's degree in power system and automation from Zhejiang University respectively. At present, he is a professor and doctoral supervisor at the School of Electrical Engineering, Zhejiang University, and serves as the director of the academic committee of the School of Electrical Engineering. He has long been engaged in teaching and scientific research in the fields of control theory and control engineering, signal analysis and processing, power electronics, electrical transmission and so on. He has published more than 30 academic papers 1, won 2 second prizes for scientific and technological progress at the provincial and ministerial levels, won the second prize for teaching achievements at the provincial level1,and published many teaching materials and manuals. He is currently a member of the Instructor Committee of Automation Specialty in institutions of higher learning of the Ministry of Education, deputy director of the Industrial Automation Education Committee in institutions of higher learning of China Institute of Electrical Technology, executive director of China Mechanical Industry Education Association and deputy director of the Professional Committee of Electrical Engineering and Automation, deputy director of the Professional Committee of Neural Network and Computational Intelligence of China Artificial Intelligence Society, standing member of the Professional Committee of Electronic Control System and Devices of China Institute of Electrician, and standing member of the Professional Committee of China Automation.