搜索资源列表
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- 线性卷积和循环卷积在工程上的应用亦非常广泛,在Matlab软件处理下,实现任意两个序列的线性和循环卷积对于工程上的辅助是相当重要的,程序为读者提供了线性卷积和循环卷积的matlab编码。-Linear convolution in engineering application is very extensive, in MATLAB software, to achieve any two sequences of linear and circular convolution support
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- VITERBI 译码, 2,1,7码,解调卷积码编码,硬比特判卷方法-VITERBI DECODE
code
- 卷积码的Viterbi译码方法编程,用C语言编写的卷积码的编码方法及Viterbi译码方法-convolutional code and decoding
convolutional_BCJR
- 卷积码的编码和BCJR译码的源代码,c语言实现-Encoding and BCJR decoding convolution codes
deconvSps
- 该程序是Levin在2007年参会报告的,利用稀疏退卷积算法,对编码孔径相机进行图像和深度恢复的工作。-This package contains an implementation of the sparse deconvolution algorithm described in the paper:A. Levin, R. Fergus, F. Durand and W. T. Freeman: Image and Depth a Conventional Camera with a
MATLAB-simulink-communication(down)
- 数字信号载波传输、信道编码和交织、卷积码仿真、扩频系统、OFDM、CDMA、多址接入、MIMO系统仿真等-Digital signal transmission, channel coding and interleaving, convolution code simulation, spread spectrum system, OFDM and CDMA, multiple access, MIMO system simulation, etc。
Convolution-code
- 通信当中广泛使用的卷积码,文件包括编码器,译码器以及测试的三个主程序。经测试可用。-Convolutional code communication among widely used, the file includes an encoder, a decoder and a testing of the three main program. After testing is available.
DeepLearning-master
- 深度学习的概念源于人工神经网络的研究。含多隐层的多层感知器就是一种深度学习结构。深度学习通过组合低层特征形成更加抽象的高层表示属性类别或特征,以发现数据的分布式特征表示。[1] 深度学习的概念由Hinton等人于2006年提出。基于深信度网(DBN)提出非监督贪心逐层训练算法,为解决深层结构相关的优化难题带来希望,随后提出多层自动编码器深层结构。此外Lecun等人提出的卷积神经网络是第一个真正多层结构学习算法,它利用空间相对关系减少参数数目以提高训练性能。[1] 深度学习是机器
Xilinx_convolution_coder_cn_v6.1
- Xilinx的Convolution Encode v6.1手册的中文版,本人翻译。可作为快速学习卷积码编码资料。-The Xilinx Convolutional Encoder v6.1 manual Chinese version, my translation. Learn as fast convolution code information.
DeepLearnToolbox-master
- 深度学习代码,有各种深度学习的模型。有卷积神经网络,稀疏自动编码-it is a DeepLearnToolbox,we can see cnn,sae,dbn,sae in this zip.
juanjima
- 卷积码编译码,主要是(2,1,3)卷积码的编码和维特比译码!-juanjima code and viterbi decode,(2,1,3)juanjima
Convolution--simulation-analysis
- 运用matlab实现卷积码编码和维特比译码的有关功能,并通过仿真分析影响卷积码码率的有关因素。-Using MATLAB to achieve the relevant features of the convolutional code encoding and Vitby decoding, and through the simulation analysis of the factors affecting the rate of convolutional code.
OFDM_16QAM_rs_viterbi
- OFDM,16QAM调制,信道编码采用RS+卷积码,性能出色-OFDM, 16QAM modulation, channel coding using RS+ convolutional code, excellent performance
convolutional-code
- (1) 在c或matlab环境下实现卷积码编码模块,并嵌入实验一的通信链路中,要求编码模块有一定通用性可以设定约束长度、卷积码抽头系数; (2) 设定约束度分别为7、9的1/2卷积码,仿真分析这些码的硬判决译码性能、绘制误码性能曲线,对比不同约束度下卷积码的性能,分析译码复杂性; (3) 设定约束度为7的1/2卷积码,进行无量化软判决译码,仿真分析比较软硬判决译码性能; (4) 设定约束度为7的1/2卷积码,量化比特分别为3、4、5、6,仿真分析比较量化对误码性能的影响; (5)
DeepLearnToolbox-master
- 这是深度学习的常用工具箱,里面包括常用的自动编码器、卷积神经网络和深度置信网络的函数- This is a common toolbox depth study, which includes functions commonly used automatic encoder, convolutional neural network and depth of belief networks
verilog-juanjima
- 卷积码是一种重要的前向纠错信道编码方式,其纠错性能常常优于分组码,且(2,1,7)卷积码已应用于现代卫星通信系统中。Viterbi译码算法能最大限度地发挥卷积码的优异性能。这里采用Verilog HDL语言设计出(2,1,7)卷积码的编码器模块和基于Viterbi算法的译码器模块,译码器采用全并行结构,译码速度快-Convolutional code is an important forward error correction channel coding method, and
viterbi_coder
- viterbi编码,matlab语言实现,适用于不同长度的卷积码。-Viterbi coding, matlab language, suitable for different lengths of convolution code.
LDPC_Turbo_convolution_compare
- 文件中包含了LDPC码、卷积码、turbo码3种编码方式在相同码率下,性能的对比图,并且包含实验报告和各个文件功能的说明。-File contains LDPC code, a convolutional code, turbo code three kinds of encoding at the same rate, performance comparison chart, and contains test reports and feature descr iptions for ea
conv313
- 卷积码编译码(3,1,3)的编码verilogHDL程序-Convolution code codec (3,1,3) coding verilog HDL program
mimo_ofdm
- 基于OFDM系统802.11MATLAB仿真程序 main为主函数,mod2-add为莫2加,channel为信道,encoder为卷积码编码,decoder为维特比译码,receiver为接收端-OFDM system based on 802.11MATLAB simulation program Main based function, mod2-add 2 plus, channel for the channel, encoder for the convolutional