模块化多电平逆变器的simulink仿真mmcsevenlevel

说明：  熟练掌握MATLAB在分析通信系统方面的应用。学会应用MATLAB设计与分析一个跳频扩频通信系统。(Proficiency in MATLAB in the analysis of communication system applications. Institute of Applied Design and Analysis of MATLAB a frequency-hopping spread-spectrum communication systems.)

使用维纳滤波、谱减法和自适应滤波法在matlab环境下实现语音降噪处理的源代码，并实现了GUI用户图形界面设置，参数可调。(Using Wiener filtering, spectral subtraction and adaptive filtering in matlab environment voice noise reduction processing source code, and implement a GUI graphical user interface settings, adjustable parameters.)

Description All the filters have needed neighbor data the current pixel in the image,here this function(res_window=cover_window(how many neighbor value for row ,how many neighbor value for column ,input image) produce the result( res_window(row,col,total size)) input inp_img=2d data(row * col) w=cover size w=[3 3] = 3x3 cover pixel generation output o_img=result 3d o_img(w(1),w(2),r*col) if inp_img=[1 2 3 4 5 6 ] w=[3 3] Soloution it will construct new image new_img=[0 0 0 0 0 0 1 2 3 0 0 4 5 6 0 0 0 0 0 0] result o_img(:,:,1)=[0 0 0 0 1 2 0 4 5] o_img(:,:,2)=[0 0 0 1 2 3 4 5 6] finally o_img(1:3,1:3,6) example a=imread( pears.png ) b=rgb2gray(a) c=cover_window( b,[3 3]) 3x3 window construction

Learning the Kalman Filter

It is about state vector machine.

Matlab code for image compression.

example: 演示程序 creatData:生成数据 creatTrainLabelMat:生成数据标签 LDA:提取fisherface knnRecognition:knn分类器 knnsearch:knn搜索(example: demo creatData: generate data creatTrainLabelMat: generating data label LDA: Extract fisherface knnRecognition: knn classifier knnsearch: knn search)

模式识别中的模糊聚类，采用隐马尔科夫链，考虑了先验概率，进行图像识别。(Pattern recognition, fuzzy clustering, using hidden Markov chain, taking into account a priori probability for image recognition.)

现代信号谱估计算法的matlab代码 调用函数代码(spectral analysis of signals)

说明：  一种简单的灰度图片的匹配方法，是有自己编写(A simple gray scale image matching method is to prepare its own)