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程序包包括了求解稀疏信号重构的凸优化方法。具体实现了基于 primal-dual 的线性规划方法（LPs）和基于 log-barrier 的二阶锥规划方法（SOCPs）。(Sparse signal recovery via convex programming is given in the pakage. The Lps are using generic primal-dual method, and the SOCPs are solved with a generic log-barrier algorithm. )

几个用matlab编写的程序，都是针对excel文件的，读取.xls文件并对数据信号进行相关处理(some code based on matlab ,used to read excel format data)

mimo and siso capacity

LIBSVM 是台湾大学林智仁 (Chih-Jen Lin) 博士等开发设计的一个操作简单、易于使用、快速有效的通用 SVM 软件包，可以解决分类问题（包括 C- SVC 、n - SVC ）、回归问题（包括 e - SVR 、 n - SVR ）以及分布估计（ one-class-SVM ）等问题，提供了线性、多项式、径向基和 S 形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。(LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.)

数字信号处理matlab工具书。里面涵盖了基本的数字信号处理仿真方法，是初学者的必备宝典。(Digital signal processing matlab tool. Which covers the basic digital signal processing simulation method is essential for beginners Collection.)

MATLAB在CCS集成编程环境中应用的研究(MATLAB applications in the CCS integrated programming environment)

Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359(9306):572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer.gov/ncifdaproteomics/ppatterns.asp (Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359 (9306) :572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer. gov/ncifdaproteomics/ppatterns.asp)

单边指数信号M文件，可生成单边指数信号频谱，希望对大家有帮助(Pors)

自己做的一个项目的处理程序： 实现大量数据的格式读取，分割处理，并按要求的行以一定的函数进行运算，把要求的行的数据与时间画出变化曲线(A project of their own procedures for handling: achieving a large amount of data format to read, be dealt with separately in accordance with the requirements of the line to a certain degree of function computation, the data requirements and time line to draw curve)

This is about Linear Decrement Analysis. You can use it to classify Brain Computer Interface or BCI. inputs are signals and labels.