Lin Shu的经典的Error control Coding 英文扫描版，一个压缩包包含所有文件，共52M大小

一本介绍如何进行差错控制编码实际仿真的书籍（包括所有配套的matlab仿真代码）

INTRODUCTION TO CRYPTOGRPHY WITH CODING (2nd Edition)的答案

自适应霍夫曼编码的C++版本简单实现 class AdaptiveTree { public: AdaptiveTree(int rootNum); AdaptiveTree(int rootNum, string str); void swap(int first, int second); // swap two nodes of the tree void initalCode(); // initializing the data string char2code(unsigned char letter); // locate the character in the tree with its corresponding binary string and return the string string char2binary(unsigned char letter); // translating the character to the 8-bit binary string unsigned char binary2char(string bin); // translating the binary string: bin to the corresponding character int spawn(unsigned char letter); // add a new character to the original tree void updateTree(unsigned char newchar); // update the tree int highestInBlock(int count); // return the highest node to be exchanged void setString(string str); // string decodingStr() const; void encoding(); string decoding(); unsigned char code2char(string bincode); static int size(); string binStr() const; // return the binary string of string: tempString private: void run(); int findchar(unsigned char letter ); // locate the letter in the tree string tempString; //temp string to be encoded needed to be stored here string deStr;// used for storing the decoding string string bin; // used for storing the result of encoding process /* Adaptive Tree data members */ HuffmanTree *tree; int root; /* Adaptive Tree constants */ static int ALPH_SIZE; // size of the alphabet static unsigned char none; // not a unsigned character static unsigned char NYT; // Not Yet transmitted code };

此代码是用matlab软件仿真PAM4信号的传输，自动生成传输数据，在接收端做基本的信号处理，计算出误码率。

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C++ Primer Plus 配套源代码 ，cpp格式，直接可以跑起来

Distributed source coding is one of the key enablers for efficient cooperative communication. The potential applications range from wireless sensor networks, ad-hoc networks, and surveillance networks, to robust low-complexity video coding, stereo/Multiview video coding, HDTV, hyper-spectral and multispectral imaging, and biometrics. The book is divided into three sections: theory, algorithms, and applications. Part one covers the background of information theory with an emphasis on DSC; part two discusses designs of algorithmic solutions for DSC problems, covering the three most important DSC problems: Slepian-Wolf, Wyner-Ziv, and MT source coding; and part three is dedicated to a variety of potential DSC applications. Key features: Clear explanation of distributed source coding theory and algorithms including both lossless and lossy designs. Rich applications of distributed source coding, which covers multimedia communication and data security applications. Self-contained content for beginners from basic information theory to practical code implementation. The book provides fundamental knowledge for engineers and computer scientists to access the topic of distributed source coding. It is also suitable for senior undergraduate and first year graduate students in electrical engineering; computer engineering; signal processing; image/video processing; and information theory and communications. Table of Contents Chapter 1: Introduction Part I: Theory of Distributed Source Coding Chapter 2: Lossless Compression of Correlated Sources Chapter 3: Wyner–Ziv Coding Theory Chapter 4: Lossy Distributed Source Coding Part II: Implementation Chapter 5: Slepian–Wolf Code Designs Based on Channel Coding Chapter 6: Distributed Arithmetic Coding Chapter 7: Wyner–Ziv Code Design Part III: Applications Chapter 8: Wyner–Ziv Video Coding Chapter 9: Correlation Estimation in DVC Chapter 10: DSC for Solar Image Compression Chapter 11: Secure Distributed Image Coding Chapter 12: Se

附件为压缩文件，此交通信号灯是用状态机实现，包含数个模块，在该设计中，连接图也已给出，引脚均已配置好，直接烧入板子即可（可能板子型号不同需要重新设置管脚），此设计为我当年交通灯设计组最高分。

个人关于turbo码译码过程的详细推导，以及turbo编码过程的简介。 个人关于turbo码译码过程的详细推导，以及turbo编码过程的简介。