mimosystemsimulating

fuzzy simulink for robot

支持向量机，实现2或多分类，基于matlab仿真，内有说明(ex6.m- Octave script for the rst half of the exercise ex6data1.mat- Example Dataset 1 ex6data2.mat- Example Dataset 2 ex6data3.mat- Example Dataset 3 svmTrain.m- SVM rraining function svmPredict.m- SVM prediction function plotData.m- Plot 2D data visualizeBoundaryLinear.m- Plot linear boundary visualizeBoundary.m- Plot non-linear boundary linearKernel.m- Linear kernel for SVM [?] gaussianKernel.m- Gaussian kernel for SVM [?] dataset3Params.m- Parameters to use for Dataset 3 ex6 spam.m- Octave script for the second half of the exercise spamTrain.mat- Spam training set 1 spamTest.mat- Spam test set emailSample1.txt- Sample email 1 emailSample2.txt- Sample email 2 spamSample1.txt- Sample spam 1 spamSample2.txt- Sample spam 2 vocab.txt- Vocabulary list getVocabList.m- Load vocabulary list porterStemmer.m- Stemming function readFile.m- Reads a le into a character string submit.m- Submission script that sends your solutions to our servers submitWeb.m- Alternative s)

基于欧几里得距离的聚类分析，本科毕设要求参见标准测试模型，计算十字叉丝的在不同距离的衍射图像。( Clustering analysis based on Euclidean distance, Undergraduate complete set requirements refer to the standard test models, Calculation crosshairs diffraction image at different distances.)

我编的遗传算法matlab程序，请大家多多指教！(I made the genetic algorithm matlab program, please the exhibitions!)

帮助实现N阶自适应滤波器的滤波原理，通过读入一组信号并对其进行去噪的处理，通过频谱图看出其良好的滤波效果从而发现N阶自适应滤波器的优点(N-order adaptive filter to help achieve the principle of filtering, by reading into a signal and its de-noising processing, through the spectrum to see their good filtering effect to discover the advantages of adaptive filter of order N)

将图像分为16*16的分块进行计算,稀疏矩阵采用DCT矩阵，观测矩阵采用高斯随机矩阵，重构采用OMP算法,对256*256大小的8bit灰度lena图像进行仿真( )

用matlab显示图片的RGB各分量的灰度值(Matlab display images with the RGB values of the various components of the gray)

本程产生了二进制相位调制脉冲压缩信号，在mimo雷达信号编码中有所应用(This process produces a binary phase modulation pulse compression signal mimo radar signal coding has been applied)

文章讲述了现在韩国的频谱政策和动态频谱接入技术。过去韩国的频谱管理政策需要特权，并且只有一小部分频谱可以公用。随着无线技术的发展，现在，韩国政府，使用了机遇动态频谱接入的新型频谱策略，例如LBT技术用于REID，UWB和FACS等。MIC还考虑如何在DTV过渡完成后，重新分配频谱。新型的无线电技术如认知无线电和SDR将在UHF边带中应用新的服务。MIC试图用一用有效地方式开放频谱并接受新技术用于频谱策略中。(In this paper, we introduce spectrum policies and dynamic spectrum access technologies in Korea. In the past, Korea spectrum management was the command and control with exclusive usage rights and small portions of spectrum commons bands. With the development of the radio technologies, Recently, Korea government, MIC(ministry of information and com- munication), has been adopting new spectrum policies based on dynamic spectrum access technology such as LBT(Listen Before Talk) for RFID, UWB, and FACS(Flexible Access Common Spectrum) etc. MIC is also considering spectrum reallocation of digital dividend bands after DTV transition. New radio techniques such as cognitive radio and SDR will be applied to new services in this UHF band. MIC is trying to open the radio spectrum in an efficient way and adopt new technology into spectrum policy. Thus MIC is extending the open spectrum such as spectrum commons and spectrum liberalization bands. )

this is a digital image processing project of image segmentation in matlab with .m code files