01948596ClassificationA

matlab从入门到精通第9章书后源码对初学者很有帮助(matlab)

In this implementation of tracking a ball, we will track a live ball using Kalman filter. The tracking will switch to autorun mode when the sight of the ball is lost and Kalman will estimate the motion based on it s previous states

it is useful file for all type of signals

说明：  把训练数据拷入，load的*.m文件中, 文件中部load的*.m为测试数据 save 存盘的文件为测试数据的bp预测值, 该程序可以扩充n个输入,n个输出,很容易 (Copyed the training data, load the*. m file, the central load of*. m files for test data, save the file to save to disk bp predictive value of test data, the program can be expanded to n inputs, n outputs, it is easy)

这个演示代码解决双目标函数优化问题，用蝙蝠算法和加权求和法。该程序可以扩展到解决多目标。(This demo code solves bi-objective function optimization problems using the Bat Algorithm and the weighted sum method. The program can be extended to solve any multiple objectives.)

zip文件里面包含语音分类的描述器，时域和频域的一共有七个。(the zip doc contains descriptors for audio classificatons、)

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.

一个MATLAB程序，简单的将一个模板水印加到图片上 可以实现放大缩小模板，可以任意位置添加(A MATLAB program, simply add a watermark template can zoom the image template, you can add anywhere)

this is a kinect mouse control sample. just run it or you could copy and paste on your programe(Mouse control demo)

my_clustering（分层聚类算法，类内采用最大距离，类间采用最小距离实现）(my_clustering (hierarchical clustering algorithm, the largest category within distance, using the minimum distance between the class implementation))