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说明：  voicebox语音处理matlab工具箱【1】(VoiceBox voice processing toolbox matlab [1])

matlab 是一款非常实用的软件，大家一起学习一下(Matlab toolbox contains most of the mathematical function, very suitable for learning)

我一直用着的非常好用的遗传算法工具箱，包含了雷英杰那本书的所有工具函数,我一直用，非常经典。(I have been using the very good with the genetic algorithm toolbox, contains all the tool function of Lei Yingjie s book, I have been using, very classic.)

用matlab读取uff格式的数据文件。(load the data type of *.uff using matlab.)

稀疏约束的非负矩阵分解Non-negative Matrix Factorization with Sparseness Constraints(Non-negative Matrix Factorization with Sparseness Constraints)

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(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 0312 : Butterworth (Butterworth) high-pass fi)

matlab和ivsualc++联合编程相关(matlab and ivsualc++ related to joint programming)

This code shows how one can apply Method of Moment technique to EM problems.

稳定性求解绘制稳定性lobe图（全离散）(Stability Solving draw stability lobe diagram (fully discrete))

matlab实现的2类、3类、4类、5类cmeans算法(matlab implementation of Class 2, Category 3, Category 4, Category 5 cmeans algorithm)