MATLAB

几个随机分布序列的MATLAB程序，有加入0，1均匀分布的，有加入－1，0，1对称分布的等等，还有加入高斯分布和Pearson分布(Sequence of several randomly distributed MATLAB procedures, were added to 0,1 uniformly distributed, there to join-1,0,1 symmetric distribution, etc., as well as adding Gaussian distribution and the Pearson distribution)

说明：  高进制调制中，Gray码映射之后，收端进行的软解映射程序。解映射之后的软信息，可直接用于译码(High-band modulation, Gray code mapping, the collection side of the soft solution mapping procedure. Mapping solution after the soft information, can be directly used for decoding)

说明：  程序使用说明： 1、软件应用平台：Matlab6.5或更高； 2、打开方法： 将文件所在目录设为工作目录，然后打开wavlet.fig,在noise提示框下输入噪声强度，在0-0.1之间（不能为零）。 然后点process按钮，就会显示实验结果，包括原图像，加噪图像，去噪图像的对比以及当前的psnr值。 wavlet.m是程序文件。 程序内容写在在程序的注释里。 阈值的更改没有实现可视化，在源程序中可以改。(Procedure for use: 1, Software Platform: Matlab6.5 or higher 2, open the way: the file directory set the working directory, then open the wavlet.fig, the noise boxes, enter the noise level, in the 0-0.1 between (not zero). Then process the button, it will show the experimental results, including the original image, noise image denoising image contrast and the current psnr value. wavlet.m is the program file. Program content in the program notes written inside. Threshold changes are not visualized in the source program can be changed.)

ICA盲源分离方法，可以很快的分离混合信号，对初学者有很大的帮助。(ICA blind source separation methods, can quickly separate mixed signal, there is a great help for beginners.)

BUCK电路数字电流型控制包括PID输出电压3v,电流1A(BUCK digital current-mode control circuit including PID，Output voltage 3v, current 1A)

Matlab下，基于DCT&DWT 的音频数字水印的简单实现，包含了水印的生成和提取过程(Audio watermark based on DCT & DWT)

最速下降法，用MATLAB实现。很经典！(Steepest descent method, using MATLAB to achieve. Classic!)

对读入的两幅图像进行逐个像元比较，取其中最大或最小值形成新图像矩阵，输出。 已形成界面。可通过界面进行上述操作。(To read the two images pixel-by-comparison, the maximum or minimum value from which to form a new image matrix, the output. Interface has formed. Through the interface to carry out such operations.)

Z-N算法，我做了几个事例，希望对大家有用。(ZN algorithm, I do a few examples of the hope that useful.)

目前有许多独立主元分析的方法但现在较为热手的独立主元分析方法是快速独立主元分析，，此程序就是快速独立主元的matlab编程，(Fast Independent Component Analysis)