Weiner-Filter

信号功率谱分析，方法三、四，已在此详细编写(Signal power spectral analysis, methods, three, four, has been prepared in detail here)

特征点提取的Matlab程序,主要用于多视角的特征点提取，可以抗尺度变换(Matlab feature point extraction process, mainly used for multi-angle feature points extraction, can be anti-scaling)

用matlab仿真一维FDTD电磁场的程序和案例讲解。(One-dimensional FDTD electromagnetic field simulation using matlab program )

编写离散时间傅里叶变换子函数，并调用此函数求下列序列的离散时间傅里叶变换(The preparation of discrete-time Fourier transform subroutine, and call this function find the following sequence of discrete-time Fourier transform)

偏微分方程的图像去噪算法全集，PM方程，SHOCK滤波器等MATLAB代码(Algorithm for Image Denoising Complete Works, PM equation, SHOCK filters MATLAB code)

对文档进行二进制处理的几种方法进行比较，分析和评估，得出一定的规律。(Several binary document comparison, analysis and assessment, and to come to a certain law.)

此程序经本人调试,完全能实现编码的仿真功能,而且在程序中有必要的说明,增加了程序的可读性.(this procedure by my tests, is fully capable of achieving functional simulation codes, but the procedure is necessary to note, increase the readability of programs.)

机器学习中的垃圾邮件分类程序，用matlab做的。从以下链接下载垃圾邮件数据（spam data）：(数据已下载，放在spambase.zip) http://www-stat.stanford.edu/~tibs/ElemStatLearn/index.html 该数据包含57个邮件信息相关的变量，每条邮件可以被分类为垃圾邮件（Y=1）和非垃圾邮件（Y=0）。输出Y的值在文件中每一列的末尾。练习的目标是要预测电子邮件是否为垃圾邮件。 (Machine Learning spam classification procedures, using matlab to do. Data (spam data) from the following link to download the junk mail: (data has been downloaded, put spambase.zip) http://www-stat.stanford.edu/ ~ tibs/ElemStatLearn/index.html The data includes 57 e-mail messages related variables, each message can be classified as spam (Y = 1) and non-spam (Y = 0). Y value of the output end of each column in the file. The goal is to predict exercise email is spam.)

C#调用VLC进行视频播放，支持多种视频格式(C# calls VLC for video playback, supporting multiple video formats.)

几种不同阈值去噪方法的程序仿真代码，可以很好的进行消噪。( kings of THR denoising)