datamining

PID解耦，用于多变量解耦，是个很好的例子，希望对大家有用(PID decoupling, for multi-variable decoupling is a good example, in the hope it would be useful)

Spectral subtraction based speech enhancement

discription of detection of craters in ctx images mars

基于普通的SLM方法降低OFDM的PAPR，并验证了M（子载波数）的作用(reduce the PAPR of OFDM)

利用matlab软件获得彩色图像的特征值以及生成72维一维向量(Matlab software using color images, as well as the characteristic values to generate one-dimensional 72-dimensional vector)

Compressive Sampling是最近讨论非常热烈的数据处理方法。用一个与变换基不相关的观测矩阵将变换所得到的高维信号投影到一个低维空间上，然后通过优化求解从这些少量的投影中以高概率重构出原信号。(Compressive Sampling is a very lively discussion of recent data processing method. A base with the transformation matrix will not change the relevant observation obtained a high-dimensional signal projected onto low-dimensional space, and then solved by optimizing the projection from these small reconstructed with high probability in the original signal.)

◆输入数据： 由键盘输入待查文本文件名和待查单词。待查文件名为：input.txt。 ◆输出数据： 输出文件为output.txt，该文件第一行为该单词在文件中出现的次数。 从每二行开始是依先后次序输出的包含该单词的句子。 (◆ Input data: text file name to be examined by the keyboard input and searching words. Unknown origin file name: input.txt. ◆ Output data: output file output.txt, the first acts of the file of the word the number of occurrences in the document. From the beginning of every second line is output in the order in which the word sentences.)

解决非线性规划问题的内点罚函数法，使用fmincon函数(The interior penalty function method for solving nonlinear programming problems uses the fmincon function)

软件无线电资料我的大作业，喜欢的人可以下下来自己看看吧(Software Radio information my large work, like people can look at themselves down under the bar)

简单的脚本来读取视频文件，并跟踪单个二维红色标记使用的色调和饱和度值。最大的红色斑点检测，平均统筹此Blob位置跟踪。这段代码没有任何跟踪内置的：它把每一帧独立。 这是假设是一个常数的视频帧速率视频。由此产生的协调时间序列存储在变量：吨，结晶度和YC。(Simple script to read a video file and track a single red marker in 2D using the hue and saturation values. The largest red blob is detected and the mean co-ordinate position of this blob is tracked. This code does not have any tracking built-in: it treats each frame independently. This assumes that the video is a constant frame rate video. The resulting co-ordinate time series are stored in the variables: t, Xc and Yc.)