otsu

本程序实现一个MATLAB辅助工具，你可以借助它，选择plot绘制出的各个图像数据，并且随意拖动它们。另外，它还有两个不同形状任意大小的绘图刷子。你使用这个工具选中点的时候，这些点被高亮，直到释放鼠标。另外你还可以在命令行下面调用这个工具，选择绘制的图像(This program implements a MATLAB aids, you can make use of it, select the plot to draw out each image data, and easily drag them. In addition, it has two different shapes of any size drawing brush. You use this tool to select points, these points are highlighted, until you release the mouse. Also you can call the following at the command line tool, select the image to draw)

在matlab下实现使用双频组合观测值对观测值中的周跳进行探测，附有实验数据文件(In matlab combination to achieve dual-frequency observations using the observed values ​ ​ of the cycle slip detection, with the experimental data file)

FIEMAP data structures and flags.

his program was created in Matlab GUI. This program enables to browse error correction process step by step. This program contains graphic interface with many options and display results.In the third part is described program created in Matlab Simulink that was implemented into the TMS320C6713 kit and there is description of measuring procedure. For verification of efficiency of turbo codes was measured any parameters. Some of these parameters are: number of decoding iterations, generating polynoms and using of puncturing. The last part contains measured value and result evaluation.

说明：  radial distribution load flow by D. Das

code pso-svm matlab for optimazation.

LDA简单的小程序，线性判别，用于分类的(LDA simple little program, linear discriminant for classification)

Wavelet denoising For using this code need to use signal toolbox and general toolbox in your matlab In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size 512 by 512 and then generate noisy image by adding a Gaussian noise but under the condition of having SNR=20dB by select the suitable value of variance for Gaussian noise formula. Second step is performing wavelet denoising using the hard thresholding (Use the db 6 for four levels) in the condition of finding the optimal thresholding value of T in terms of the SNR obtained. It means that, we should find the highest SNR value by finding the suitable value for threshold. Then we asked to do the same process but this time using soft thresholding. Finally for the last part of question one, we should compare the results of the obtained SNR with the recommendations of 3*sigma for the hard thresholding and 3/2*sigma for the soft thresholding.

HHT变换中用于边际谱与FFT比较的一个源码。本人亲试，出的图形基本满足要求。你可以下来看看。(HHT marginal spectrum for the transformation of a source compared with the FFT. I pro-test, the graphics basically meet the requirements. You can look down.)

Re-inforcement Learning with Matlab