Description: ofdm信道编码和译码的源代码，用matlab实现-OFDM channel coding and decoding of the source code, using Matlab to achieve Platform: |
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Author:张于 |
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Description: 现代通信系统（matlab版）随书代码。提供信道容量和编码，扩频通信系统载波调制的数字传输等仿真源代码。-modern communication system (Matlab version) with the code book. Provide channel capacity and coding, spread-spectrum communication system carrier modulation digital transmission simulation source code. Platform: |
Size: 1265664 |
Author:高山 |
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Description: 该文件包括几篇比较关于LDPC编码核心的基础读物，还有关于LDPC开发的MATLAB仿真库和运用该库所进行的一些仿真源码-The documents include a few more LDPC coding on the basis of the core reading, also on the development of the LDPC MATLAB simulation library and use the library for the simulation source code Platform: |
Size: 885760 |
Author:刘泽凯 |
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Description: 包括了无线通信中频繁使用的一些基本的信源编码方式,如QPSK,MASK等.-including wireless communications frequent use of some of the basic source coding methods, such as QPSK, such as MASK. Platform: |
Size: 32768 |
Author:lisi |
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Description: 本资料为《MATLAB通信仿真及应用实例详解 》书本上的仿真
本书着重介绍了MATLAB在通信仿真，尤其是移动通信仿真中的应用，通过丰富具体的实例来加深读者对通信系统仿真的理解和掌握。全书共分10章，前3章介绍MATLAB通信仿真的基础，包括Simulink和S-函数；第4~8章分别介绍了信源和信宿、信道传输、信源编码、信道编码、信号交织以及信号调制的仿真模块及其仿真实现过程；第9章介绍了在通信系统的仿真和调试过程中经常遇到的问题及其解决办法；最后，第10章以cdma2000为例介绍了移动通信系统的设计和仿真。本书适用于通信行业的大专院校学生和研究人员，既可以作为初学者的入门教材，也可以用作中高级读者和研究人员的速查手册。
-this information as "MATLAB simulation and communication application example explanation" book on the simulation focused on the book- stay in communication MATLAB simulation, especially for the mobile communications simulation applications, through the rich and specific examples to deepen readers of the communications system simulation to understand and grasp. The book is divided into 10 chapters, the first three chapters on MATLAB simulation based communications, including Simulink S-Function; 4 ~ 8 respectively on the source and destination node, Channel Tunnel, source coding, channel coding, signal modulation signal intertwined and simulation module and Simulation process; Chapter 9 of the communications system simulation and debugging process frequently encountered problems Platform: |
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Author: |
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Description: 以正弦波信号为例，对其进行信源编码、译码，循环信道编码-a sinusoidal signal as an example, its source coding, decoding, channel coding cycle Platform: |
Size: 1024 |
Author:马卓 |
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Description: 该程序仿真CDMA接收机的功能，包括解扩，解交织，信道编码(卷积码)，解码，信源编码(CRC)解码5个功能模块，生成用于数字基带传输的信号序列。
仿真CDMA发射机的功能，包括随机序列的产生，信源编码尾比特添加, 信道编码(卷积编码)，分组交织和扩频调制6个功能模块，生成用于数字基带，传输的信号序列，输出还包括用于解调所需要的信源编码尾比特值add_bits，交织器的尾比特值i_add_bits-CDMA receiver functions, including despreading, Xie intertwined, channel coding (convolutional codes), decoded, the source code (CRC) decoder five functional modules, production figures for the base band signal transmission sequence. Simulation CDMA transmitter functions, including random sequence generation, the source coding bit late add, Channel Coding (coding), a spread-spectrum modulation intertwined and six functional modules, production figures for the base-band, The transmission signal sequence, and the output is also included for the modems needed source coding bit value add_bits tail, interleaver value of the last bit i_add_bits Platform: |
Size: 3072 |
Author:刘洪 |
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Description: 《MATLAB程序设计教程》一书的随书源代码-"MATLAB Programming Guide," a book of the source code along with book Platform: |
Size: 27648 |
Author:bunny |
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Description: Here are two newest published articles talking about joint source channel coding, in which source coding is invovled scalable video coding. They are very useful for people who are doing research about it. -Here are two newest published articles talking about joint source channel coding, in which source coding is invovled scalable video coding. They are very useful for people who are doing research about it. Platform: |
Size: 3563520 |
Author:刘勇 |
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Description: ) Compression using huffman code
-with a number of bits k per code word
-provide huffman table
Huffman coding is optimal for a symbol-by-symbol coding with a known input probability distribution.This technique uses a variable-length code table for encoding a source symbol. The table is derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol .Huffman coding uses a specific method for representing each symbol, resulting in a prefix code that expresses the most common characters using shorter strings of bits than those used for less common source symbols.The Huffman coding is a procedure to generate a binary code tree.
-) Compression using huffman code
-with a number of bits k per code word
-provide huffman table
Huffman coding is optimal for a symbol-by-symbol coding with a known input probability distribution.This technique uses a variable-length code table for encoding a source symbol. The table is derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol .Huffman coding uses a specific method for representing each symbol, resulting in a prefix code that expresses the most common characters using shorter strings of bits than those used for less common source symbols.The Huffman coding is a procedure to generate a binary code tree.
Platform: |
Size: 1024 |
Author:ria |
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Description: 现代通信系统书籍底八章仿真程序，很好的程序，初学习这很好的教材-The Slepian-Wolf (SW) cooperation proposed in [1] is probably the first practical cooperative
scheme that implements the idea of compress-and-forward. Through the exploitation of efficient
distributed source coding (DSC) technology, the authors of [1] demonstrate the effectiveness of
Slepian-Wolf cooperation in combating inter-user channel outage in wireless environment. In this
paper, we discuss the general framework of Slepian-Wolf cooperation using the two most popular
DSC technologies: the binning/syndrome approach and the parity approach. We show that the
latter is particularly useful in SW cooperation, since it is conceptually simpler, provides certain
performance advantages, and enables any (system) linear channel code to be readily exploited.
Examples using convolutional codes, low-density generator-matrix codes and low-density paritycheck
codes are demonstrated and practical algorithms for estimating the source-relay correlation
and for decoding the compound packets Platform: |
Size: 9216 |
Author:史志举 |
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Description: 现代通信原理第九章程序代码，不错的程序，初学习者很好的程序-The Slepian-Wolf (SW) cooperation proposed in [1] is probably the first practical cooperative
scheme that implements the idea of compress-and-forward. Through the exploitation of efficient
distributed source coding (DSC) technology, the authors of [1] demonstrate the effectiveness of
Slepian-Wolf cooperation in combating inter-user channel outage in wireless environment. In this
paper, we discuss the general framework of Slepian-Wolf cooperation using the two most popular
DSC technologies: the binning/syndrome approach and the parity approach. We show that the
latter is particularly useful in SW cooperation, since it is conceptually simpler, provides certain
performance advantages, and enables any (system) linear channel code to be readily exploited.
Examples using convolutional codes, low-density generator-matrix codes and low-density paritycheck
codes are demonstrated and practical algorithms for estimating the source-relay correlation
and for decoding the compound packets Platform: |
Size: 7168 |
Author:史志举 |
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Description: 现代通信原理第十章程序代码，不错的程序，初学习者很好的程序-The Slepian-Wolf (SW) cooperation proposed in [1] is probably the first practical cooperative
scheme that implements the idea of compress-and-forward. Through the exploitation of efficient
distributed source coding (DSC) technology, the authors of [1] demonstrate the effectiveness of
Slepian-Wolf cooperation in combating inter-user channel outage in wireless environment. In this
paper, we discuss the general framework of Slepian-Wolf cooperation using the two most popular
DSC technologies: the binning/syndrome approach and the parity approach. We show that the
latter is particularly useful in SW cooperation, since it is conceptually simpler, provides certain
performance advantages, and enables any (system) linear channel code to be readily exploited.
Examples using convolutional codes, low-density generator-matrix codes and low-density paritycheck
codes are demonstrated and practical algorithms for estimating the source-relay correlation
and for decoding the compound packets Platform: |
Size: 1021952 |
Author:史志举 |
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Description: e Handbook Entry
Communication concepts: Fourier transforms, random signals, Transmitter
and receiver filters, matched filter, Nyquist criterion. Digital Modulation schemes:
M-ary ASK, QPSK, FSK, CPM, spectral analysis of modulated signals, ML and
MAP detectors, signal space methods, bit error rate analysis. Digital Receivers:
carrier and clock synchronisation. Information theory: entropy, channel capacity,
source coding. Channel Coding: block codes, convolutional codes. Platform: |
Size: 17408 |
Author:Khan17
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