fuzzy_pid

LPI国外的雷达教程上的源程序，可以对照书上讲解进行学习(LPI tutorials on the radar of foreign source, can explain the book to learn the control)

压缩感知BP算法（basis pursuit algorithm）(basis pursuit algorithm)

图像处理中，HOUGH变换的实验程序，用MATLAB编写，配有可是图片(image processing, HOUGH transform the experimental procedure, using MATLAB, but equipped with photo)

基于动脉血压波形的描绘器，ABP波包含许多重要的生理信息，这是通过寻找波峰波谷来分析ABP波(On an automatic delineator for arterial blood pressure waveforms)

adaptive channel equalizer simulink model

Finding Magnitude of V program for power system for jawa bali power system models using gauss seidel methods

说明：  本文件包含基本GA程序，小波神经网络程序，GA优化的小波神经网络程序(This paper contains basic GA program, wavelet neural network program and GA optimized wavelet neural network program.)

for edge detection(linear detection as road) in radar images we can use the morphology technique. here i am coding fo morphology process to detect the linear feature of an image.

matlab图像处理的几个程序 P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理(Matlab several image processing procedures P0301 : Digital image data matrix display and Fourier Transform P0302 : Two-dimensional discrete cosine transform image compression P0303 : Gray used a new method to enhance the contrast of the image P0304 : histogram equalization P0305 : Simulation images by white Gaussian noise and Impulse noise impact P0306 : 2D median filtering function medfilt2 right by the Salt and Pepper image noise filtering P0307 : MATLAB filter2 the function of noise interference by the image filtering P0308 : Image Adaptive Filter Weiner P0309 : use five different gradient Enhancement Act for image sharpening P0310 : Images of the high-pass filtering and mask handling P0311 : use Butterworth (Butterworth) low-pass filter to noise interference by the image smoothing P 03)

cancer detection using wavelet