AMI

基于Fisher information的优化阵列设计，使用穷举法和迭代法得到优化阵列，再基于最大似然估计研究其MSE、克拉美罗界等性能。(Fisher information based on the optimized array design, use brute-force methods and iterative methods optimize the array, and then based on the maximum likelihood estimation study the MSE performance of Cramer-Rao Bound.)

俄罗斯方块matlab GUI平台的例程，自带程序说明(Tetris routines matlab GUI platform, comes with the program description)

线性调频信号的产生线性调频信号的产生线性调频信号的产生(The generation of linear frequency modulation signal )

matlab 关于association rule 的自己写的函数，有3个文件, association.m：h = association(m, i, j) i=>j, m是数据，h是support和confidence，该函数只适用于单个数据 ass_item: h=ass_itset(m, a, b) 同上，但是可用于多个数据（m为数组） assrule: h = assrule(m, threshold1, threshold2) 该函数用于classification， 得到规则，threshold1为要求的support,threshold2为要求的confidence，h 则为符合要求的规则及其support和confidence，前2列为规则，后2列为其support和confidence (matlab on the association rule to write functions, there are 3 files, association.m: h = association (m, i, j) i => j, m is the data, h is the support and confidence, this function applies only to a single Data ass_item: h = ass_itset (m, a, b) it is the same as above, but it can be used for multiple data (m can be matrix) assrule: h = assrule (m, threshold1, threshold2) the function used for classification,get the rules, threshold1 is the require of support, threshold2 is the required of confidence, h is the rules and their support and confidence, the former two columns as a rule, the latter two columns as one of its support and confidence)

HMM识别孤立词的研究与实现,有助于学习语音识别(HMM isolated word recognition and implementation of research, contribute to learning speech recognition)

通过internet远程对示波器通道数据进行采集与读取控制(through remote internet access for oscilloscope data acquisition and control Read)

一个很好的matlab编程绘制B样条曲线，(Matlab program to draw a good B-spline curve,)

Least Mean Square using matlab

压缩传感，压缩感知，压缩采样，稀疏表达，稀疏表示，的入门例子(compressive sensing, compressed sensing)

说明：  一个MATLAB的应用程序，很方便的！使用时需要转换为M文件。(a MATLAB applications, a convenient! Use need to change for the M documents.)