TD4-analyse-de-stabilite-en-BF

程序代码说明 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(Code Description P0301: digital image data display matrix and Fourier transform P0302: Two-dimensional discrete cosine transform image compression P0303: gray-scale transformation method using the contrast enhanced image P0304: Histogram of homogenization P0305: simulated images by Gaussian white noise and salt and pepper noise of P0306: two-dimensional median filter function medfilt2 on the image noise by filtering salt and pepper P0307: using MATLAB in the function filter2 noise on the image by mean filter P0308: Image Adaptive Weiner Filter P0309: the use of 5 different gradient enhanced image sharpening method P0310: the image of the high-pass filter and mask treatment P0311: Using Butterworth (Butterworth) low pass filter the image noise by smoothing P0312: Using Butterworth (Butterworth) high pass filter sharpening the image)

CCNET protocol Programming sample for protocol CCNET

Matlab 的M 文件，实现任意空间曲面的绘制！(matlab m file,draw all surface)

kalman filter for multi target tracking

采用RGB+K-means对路标进行提取，效果十分不错。(RGB+ k-means is adopted to extract road signs, and the effect is very good.)

基于MATLAB的语音信号特征分析描述，描述清楚，系统的描述了语音检测处理的方法，具有较高的参考价值。(The characteristics of speech signal analysis based on MATLAB description, clear description, system description method of speech detection processing, has high reference value. )

fisher分类法的matlab实现，包含训练与测试部分。(fisher classification matlab implementation, including training and testing parts.)

cancel adaptive noise

machine learning 方面有关于Bayesian Review and Gaussian Processes的资料，语言是python(machine learning aspects of information concerning the Bayesian Review and Gaussian Processes, language is python)

performance improvement with different codes