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
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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
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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
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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 05 Coded-Modulation for Band-Limited AWGN Channels(5.9-5.14)
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
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Introduction Channel Polarization Construction Encoding & Decoding Performance Open Problems
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5.1 编码调制的基本原理 5.2 Coding Gain and Shaping Gain 5.3 Lattice Constellations 5.4 Trellis-Coded Modulation (TCM) 5.5 Performance Evaluation of TCM 5.6 Lattice-Type Trellis Codes
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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
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4.6 Behavioral Models of Codes and Factor Graph Representation 4.7 The Sum-Product Algorithm
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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
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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
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