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本实验中的KNN分类算法采用Matlab语言实现。 主函数“knnClass.m”读取训练和测试的数据文件,然后调用knn函数进行分类运算,并使用图像的形式将分类结果显示出来。(The KNN classification algorithm in this experiment is realized by Matlab language. The main function "knnClass.m" reads the training and test data files, and then calls the knn function for sorting operations and displays the sorting results in the form of images.)
Update : 2024-05-20 Size : 43008 Publisher :

## 人脸识别GUI设计 这是我在理解PCA算法后,设计`MATLAB GUI`实现人脸识别。 ### 使用方法: 1. 运行face.m主脚本 2. 点击`训练机器`选择train文件夹 3. 点击`choose photo`选择test文件夹下的一张图片 4. 最后点击`recognize`即可进行识别 5. 点击`Accuracy`可计算整个test文件夹下所有图识别准确率 ###(## face recognition GUI design This is my understanding of the PCA algorithm, the design of `MATLAB GUI` to achieve face recognition. ### use method: 1. run the face.m master script 2. click on ` training machine ` select train folder 3. click `choose photo` to select a picture under the test folder 4., click `recognize` to recognize 5. click "`Accuracy`" to calculate all the test folder under the map to identify the accuracy rate ###)
Update : 2024-05-20 Size : 2177024 Publisher : innce

This document explains the Blind Tricyclist Problem M ATLAB functions and an example input/output data file that are provided in this package. Israel Annual Conference on Aerospace Sciences, Feb. 29 - The descriptions in this document presume that the user is familiar with the models and notation of that paper. The contents of this document, listed in order, are: a) A glossary for translation of variable names between the above-cited paper and the provided M ATLAB .m-file functions and .mat data file. b) A listing and descriptions of the five MATLAB .m-file functions that are provided. c) A description of the single MATLAB .mat data file that has been provided, one that contains truth-model simulated data. d) An example set of commented MATLAB commands that run a new simulation and that implement and test a first-order EKF using the provided function files and some of the data in the provided .mat file.(This document explains the Blind Tricyclist Problem M ATLAB functions and an example input/output data file that are provided in this package.)
Update : 2024-05-20 Size : 132096 Publisher : dtrce

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直扩MSK通信链路的仿真程序。PN码采用m序列,周期可自行改动。接收端解扩解调同时进行。亲测可用。(Simulation program of DSSS MSK communication link. PN code uses m sequence, the cycle can be changed by itself. Simultaneous demodulation and demodulation are carried out at the receiver. Pro test available.)
Update : 2024-05-20 Size : 2048 Publisher : 只剩下安静

本文件包含Metropolis算法对函数进行抽样;显示生成样本的相关图和直方图. 其中文件:metropolis_hastings.m该文件包含4个示例,用于通过Metropolis-Hastings算法对复杂函数进行抽样,显示生成样本的相关图和直方图。metropolis_hastings2.m 包含一个例子,用于通过Metropolis-Hastings算法对双变量高斯PDF进行采样,显示生成样本的相关图和直方图,以及其轮廓和边缘PDF的函数等。(This program develops a very basic example, for the sampling of functions by means of Metropolis algorithm; showing the correlograms and the histogram of the generated samples. metropolis_hastings.m. This file contains four examples, for the sampling of complex functions by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples. In this case the proposals PDF its no longer symmetric. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.It needs the "MH_routine.m" function. metropolis_hastings2.m. This file contains one example, for the sampling of a bivariate Gaussian PDF by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples, and the function with its contours and marginals PDF. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.)
Update : 2024-05-20 Size : 11264 Publisher : 3Radiant

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可以直接go.m 进行程序加载。本人亲自测试,算法还可以,可以参考学习!(The program can be loaded directly by go.m. I personally test, the algorithm can also refer to the study!)
Update : 2024-05-20 Size : 581632 Publisher : 黄天

Main.m: the file to run the software Instructions how to use the GUI_interface Step 1: click the 'open test' button to input the test noisy image and click the 'open averaged'button to input the averaged image Step 2: setting the parameters for MSBTD method. (the default parameters are used in our method, but you can tune it yourse) Step 3: click the 'MSBTD method'to run MSBTD and click the 'Tikhonov method'to run the Tikhonov for comparison (visually denoised results will be automatically shown in the top left and the PSNR results will also be shown in bottom left) Step 4: click the 'save' button to save the results as the .tif or .mat format Step 5: compute the MSR by select a region from the test image Step 6: compute the CNR by first select a background region from the test image(Multiscale Sparsity Based Tomographic Denoising (MSBTD))
Update : 2024-05-20 Size : 472064 Publisher : Kingsley丶何

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粒子群算法(pso)标准测试函数验证程序,在一个m文件中包括了目前文献(Particle swarm optimization (pso) validation procedures, standard test functions in a m documents including the current literature)
Update : 2024-05-20 Size : 2048 Publisher : ER-28384

matlabAHP
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应用于层析分析,具有较好的移植性,具有一致性检验,适用于一般的层次分析。里面有m文件及ahp资料(Applied to chromatography analysis, it has good portability, consistency test, and is suitable for general level analysis. There are m files and AHP data)
Update : 2024-05-20 Size : 442368 Publisher : 言行者

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修改的myLMsarsem_panel.m,用于LM检验和moran‘s I检验(This code myLMsarsem_panel.m was revsised by adding Moran's I test, it is for LM test and Moran's I test.)
Update : 2024-05-20 Size : 2048 Publisher : sbr04

MATLAB 是科学与工程上其中一个非常广泛使用的计算工具,不管你的背景是什么— —物理、化学、数学还是工程学——它都能适宜你。学习一款数学计算工具有三个好处:第 一,如果你是手工完成计算的,那么它就像一个后台检查工具。假如你是学生,有一个工具 可以检查你的答案总是好的。我并不是说你要过份依赖某种计算工具,好像它就是神谕一样。 如果你的教授要求你手工完成工作,之后你就可以使用 MATLAB 或其它计算工具来检验你 的工作是否正确。(MATLAB is one of the most widely used computing tools in science and engineering, no matter what your background is- Physics, chemistry, math, or engineering -- it fits you. There are three advantages to learning a mathematical computing tool First, if you do the calculations manually, then it's like a background check tool. If you are a student, you have a tool It's always good to check your answers. I'm not saying you're going to rely too much on a computing tool as if it were an oracle. If your professor asks you to do the work by hand, then you can use MATLAB or other computing tools to test you Is the work correct?.)
Update : 2024-05-20 Size : 7385088 Publisher : 这阵子

M-K气象因子突变检测,可用于气温、降水等气象因子的检测,matlabl程序。(M-K test for meterological factors)
Update : 2024-05-20 Size : 1024 Publisher : wht432

m-k突变检验及趋势检验,可以很好的解释气候等变化的显著性趋势和突变点(Mk mutation test and trend test, can well explain the climate change trend and the significance of mutations)
Update : 2024-05-20 Size : 1024 Publisher : 亮晶晶007

投资种类:股指期货 投资类型:择时 持仓类型:隔夜 投资品种:IF0000 回测时间:20100101至20160410 调仓频率:1天 策略说明:此策略为趋势线择时策略,主要由回测执行部分A,调仓策略部分B,和外部因子部分C组成,其中A部分为主程序,B部分和C部分为函数体。(Types of investment: Stock Index Futures Type of investment: timing Position type: overnight Investment varieties: IF0000 Time to check: 20100101 to 20160410 Location frequency: 1 days Policy Description: this strategy is a trend line timing strategy, which consists mainly of the test execution part A, the location strategy section B, and the external factor part C, wherein the A part is the main program, and the B part and the C part are the functional bodies. (1) external factor part C This part is a group SSA trend to use multi window terminal changes, so as to get the bullish bearish signal signal. Specifically, the trend line m for the window parameter)
Update : 2024-05-20 Size : 2048 Publisher : hust-csuer

matlabDM6
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主要包括一个测试数据集合mydata.mat,main.m,DBSCAN.m和PlotClusterinResult.m共4个文件,我们在测试实验实验中做了两个方面更改:1)更换了另外一个测试数据,测试数据来源于[13](取其中的一部分),2)添加了个K距离图部分代码(均在如下主程序代码中给出),代码按照个人对k-distance graph的理解编写,如有错误之处,望大家指正,3)改变参数Eps值大小,输出结果并显示。(Including a test data set mydata.mat, main.m, DBSCAN.m and PlotClusterinResult.m, a total of 4 documents, we do two aspects of change in the experimental test: 1) to replace another test data, test data from [13] (part of the), 2) add a K distance map the code (both in the main program code are given in the following), according to the personal understanding of the k-distance graph code written, if wrong, hope you correct me, 3) value to change the parameters of Eps, output and display.)
Update : 2024-05-20 Size : 1024 Publisher : zouhaozhe

This application note presents methods for integrating Rohde & Schwarz test and measurement (T&M) instruments into The MathWorks MATLAB applications.
Update : 2024-05-20 Size : 9216 Publisher : dedle

能够识别出脸部,眼睛,鼻子,嘴巴等部位,效果很好,运行demo.m可以测试(Able to identify the face, eyes, nose, mouth and other parts, the effect is very good, run demo.m can test)
Update : 2024-05-20 Size : 481280 Publisher : handu

能够检测人脸部分,鼻子,眼睛和嘴巴,运行demo.m测试(Able to identify the face, eyes, nose, mouth and other parts, the effect is very good, run demo.m can test)
Update : 2024-05-20 Size : 480256 Publisher : handu

质量为m1和m2的两个物体之间的引力F为 F=G*m1*m2/r^2 这里G为引力常量(6.672*10^-10N*m^2/kg^2)m1和m2是单位为千克的物体质量,r是两个物体之间的距离。编写一个函数计算给定质量和相互距离的两个物体的引力。通过计算在地球38000km处的轨道上运行的1000kg的人造卫星和地球之间的引力来测试所编程序。(地球的质量为5.98*10^24kg)(The gravitational F between the two objects of mass M1 and M2 is F=G*m1*m2/r^2 Here G is gravitational constant (6.672*10^-10N*m^2/kg^2) M1 and M2 is the mass of a unit kilogram, and R is the distance between two objects. Write a function to compute the gravitational attraction of two objects of given mass and distance. Test the program by calculating the gravitational force between the 1000kg satellite and the earth running on the orbit at the earth's 38000km. (the mass of the earth is 5.98*10^24kg))
Update : 2024-05-20 Size : 1024 Publisher : 慕冷

Othercodes
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In this file Dynamic simulation of the IEEE 14 bus test case network, with physical synchronous machine models and photovoltaic inverters (renewable sources).is done in eigenvalue m file. A delta delta transformer modeling is done in the deltadelta simulink model. An optimization in the presence of demand response and wind power with real time pricing method is done in the RTPdemandwind file. The bnn2013anew simulink model is a model of AC grid with Dc load.
Update : 2024-05-20 Size : 54272 Publisher : vivi68
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