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南方医科大学：《心理学实验软件应用》课程教学资源（讲义）第一二章 编程简介、字符串和向量 Strings and Vectors

Chapter 1 Introduction Chapter 2 Entropy & Mutual Information (Shannon’s measure of information) Chapter 3 The Asymptotic Equipartition Property (渐进等同分割性) Chapter 4 Entropy Rates of a Stochastic Process Chapter 5 Coding for Discrete Sources Chapter 6 Channel Capacity Chapter 7 The Gaussian Channel Chapter 8 Rate Distortion Theory Chapter 9 复习

The research on wireless communications has received many attentions. The underlying physical channels may be characterized as time-varying fading channels. In this chapter, we will study communications over fading channels from an information-theoretic point of view. Many state-of-the-art coding and modulation schemes, including space-time codes, will be introduced

Introduction Channel Polarization Construction Encoding & Decoding Performance Open Problems

4.8.1 Definitions and Basic Concepts 4.8.2 Encoding of LDPC Codes 4.8.3 Decoding of LDPC codes 4.8.4 Density Evolution (Analysis of LDPC Codes on Symmetric Binary Input Channels) 4.8.6 Design and Construction of LDPC codes - Overview 4.8.8 Accumulator-Based LDPC Codes 4.8.9 Nonbinary LDPC codes 4.8.10 Performance Analysis of ML-Decoded LDPC Codes 4.8.11 More on Encoding 4.8.12 Applications of LDPC Codes

4.1 Introduction 4.2 Binary Turbo Codes 4.3 Principle of Iterative Decoding Algorithm 4.4 ML Performance Analysis of Binary Turbo Codes 4.5 Convergence Analysis of Iterative Decoding via EXIT Charts

西安电子科技大学：《现代数字通信与编码理论》课程教学资源（讲义）Chapter 02 Modulation and Coding for Ideal Gaussian channels

西安电子科技大学：《现代数字通信与编码理论》课程教学资源（讲义）Chapter 01 Introduction（主讲：白宝明）

本书在介绍MATLAB编程基础知识之后，讲述了图像处理的主要内容，具体包括亮度变换、线性和非线性空间滤波、频率域滤波、图像复原与配准、彩色图像处理、小波、图像数据压缩、形态学图像处理、图像分割、区域和边界表示与描述以及对象识别等