yuanzhen

1、Rayleigh_Doppler_singlePath.m 产生单径Rayleigh衰落，采用了6种方法并进行了比较，推荐使用第6种方法； 2、Rayleigh_Doppler_multiPath.m 根据多条径的延时和强度，产生频率选择性衰落； 在单径和多径两个程序中，均提供了其功率谱的输出代码； (1, Rayleigh_Doppler_singlePath.m Single Path Rayleigh fading generated using the six kinds of methods and compared recommend using the first six kinds of methods 2, Rayleigh_Doppler_multiPath.m Drive under a number of delay and intensity, resulting in frequency selective fading in single-track and multi-path two procedures, which provide the power spectrum of the output code )

说明：  lena图像的分解将规范化后的图像的数据格式由适合显示图像的uint8格式转换为适合数值处理的double格式，再调用二维小波分解函数进行图像分解，最后为了清晰地显示分解图像的塔式结构，在图像的相应区域绘制若干分界线。 (lena image after decomposition of the standardized image data format suitable for display by the image is converted to uint8 format suitable for numerical treatment of the double format, and then call the function of two-dimensional wavelet decomposition for image decomposition, and finally in order to clearly show the decomposition of the image of the tower structure , the corresponding region in the image number of the line drawn.)

说明：  计算最小路径最大流的程序，计算效果很好，小费大流(To calculate the minimum path maximum flow program )

灰色预测gm（1-1）算法，用于短期时间序列预测，包含残差检验等各种必要检验(Gray predicted all the necessary inspection gm (1-1) algorithm for short-term time series prediction, including residuals inspection)

将Pedro F. Felzenszwalb的 Efficient Graph Based Image segmentation 作者提供的c代码封装，提供了Matlab调用接口。 输入参数如英文所示。(offer the matlab code interface of pedro F. Felzenszwalb s efficient graph based image segmentation （image,sigma 0.8,k 300,min_size 100) )

语音识别的完整流程描述代码，包含了识别的真个过程(A complete description of the process of speech recognition code, including a really a process of recognition)

在MATLAB中实现图像的读取与常用的转换(Read and used for image conversion in MATLAB)

《Matlab编程_第二版》对于初学者来讲是一份不错的资料 (" Matlab programming _ the second edition of" speaking for beginners is a good information)

一个pygame开发的小例子,仅供学习参考(A pygame small demo )

说明：  最基本的用MATLAB生成PID的程序 对初学者有用!!(Using MATLAB to generate the most basic procedures for PID useful for beginners!!)