PDH-Theroy

Matlab 7 教程 全书电子版 练习源码可copy

produce figure 4.9 of the book "informatioin theory,inference,and learning algorithm"

采用MFSK调制的快速跳频通信系统，分析了各个阶段的频谱图(Using MFSK modulation of fast frequency hopping)

该算法实现了对图像的分形维计算，图片文件请修改M中的代码，自行读取。(The algorithm is realized with the image fractal dimension calculation, picture files please amend M of the code, to read.)

A Comprehensive Sparse Learning Package(Descriptions: Six sparse algorithms are implemented in this package. They are 1) SVM 2) L1-norm SVM a) Linear Programming SVM b) SC-SVM 3) L0-norm SVM 4) RVM (Relevance Vector Machine) 5) SPC (Sparse Probit Classifier))

SER calculation for OFDM

Using Over complete subband

第二种联合稀疏模型重构算法，用于分布式压缩感知(recovery algorithm of JSM2)

REAL TIME MODELING BY USING DSPACE

一个将32路64kbps信息流合成一个基群的复用模块和相应的解复用模块，要能观察合成或分解后信息流的一致性，演示的最小时间刻度为时隙（一次采样，即1/8000秒）。(64kbps would be a 32-way flow of information into one group based reuse modules and the corresponding de-multiplexing module, to be able to observe the post-synthesis or decomposition of the consistency of the flow of information to demonstrate the minimum time scale for the time slot (one sample, that is, a/8000 seconds).)