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）信息论与编码理论基础 Introduction to Channel Coding

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

Introduction Channel Polarization Construction Encoding & Decoding Performance Open Problems

4.6 Behavioral Models of Codes and Factor Graph Representation 4.7 The Sum-Product Algorithm

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 03 Performance Bounds of Coded Communication Systems

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）

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

8.1 Introduction 8.2 MIMO System Model 8.3 Fundamental Capacity Limits of MIMO Channels 8.4 Capacity of MIMO Rayleigh Fading Channels (Random MIMO Channels) 8.5 Influence of Channel-State Information [Biglieri05] 8.6 Design of MIMO Systems

5.9 级联TCM 5.10 Multilevel Codes and Multistage Decoding 5.11 Bit-Interleaved Coded Modulation (BICM) with Iterative Decoding 5.13 Combined Coding and Shaping 5.14 Implementation Considerations and Application Examples