DataAnalysis

Matlab详细手册Matlab详细手册Matlab详细手册Matlab详细手册(Matlab user book)

说明：  约瑟夫问题的实现：设有n个人围坐在圆桌周围，现从某个位置m（1≤m≤n）上的人开始报数，报数到k的人就站出来。下一个人，即原来的第k+1个位置上的人，又从1开始报数，再报数到k的人站出来。依此重复下去，直到全部的人都站出来为止。试设计一个程序求出出列序列。(Joseph realized the problem: There are n people sitting around the round table, is from a position of m (1 ≤ m ≤ n) reported on the number of people began to be reported to the k number of people to come forward. The next person, that is, the original positions on the first k+1 people, and from the number reported at 1, then the number reported to the k to stand up. So repeat this until all the others can stand up. Try to design a program derived from the column sequence.)

MATLAB程序源码，用于读取地震波数据segy格式的文件(read seis-segy file)

极化SAR矩阵的相互转换的程序，包含s、k、c、t矩阵的转换(The conversion of Pol-SAR matrixes，including s，k,c,t matrixes)

了一些资料，都没有说这个仿真平台是什么，是matlab还是直接在VC++的编译环境编程？还是有专门的仿真环境呢？ 3、如果用实物验证的话，我觉得有两种方式：一是用摄像头来采集整个地图信息，智能车的位置也有摄像头来反馈；二是，整个地图保存在内存中，小车根据传感器信息自我定位，然后和保存的地图比较。(You can download the current points to 1, the source download get points one day, you can download up to 20 times. [View your upload log] [continue to upload source to increase points] You have recently downloaded the 240 source code, you should contribute something new other friends 【Source】 it? Joined the group】 【QQ, blowing boasting a chat. You can also create a QQ group you join the union,)

BPSK QPSK 16QAM BFSK 在高斯信道下，瑞丽信道下，多径（三条径）下的误码率仿真对比，(BPSK QPSK 16QAM BFSK in Gaussian channel, under Ruili Channel, multipath error rate (three diameter) under the simulation comparison,)

convolution encoder matlab code for 1/n

GMDH_main为GMDH主函数； variable_Combin为输入层初始变量选为x1,x1^2,x1*x2,x2^2,x2时的输入变量矩阵值 variable_select计算X_train训练输入数据,Y_train训练输出数据,X_test测试输入数据,Y_test测试输出数据 Combin为求变量的两两组合 Sym_Combin为求符号变量的两两组合 PE_AIC求每层各神经元的参数估计W，及训练数据在参数估计后估计的输出out_train，测试数据在参数估计后的估计输出out_test，还有与实际比较的误差平方和PESS， 以及准则值AIC sym_representation求最终的输入输出符号表达式 Criterion_value求准则值 (GMDH_main main function for the GMDH variable_Combin initial variables chosen for the input layer, x1, x1 ^ 2, x1* x2, x2 ^ 2, x2 the value of the input variable matrix calculation X_train variable_select training input data, Y_train training output data, X_test test input data, Y_test for the sake of the test output data Combin pairwise combination of variables for the sake of symbolic variables Sym_Combin pairwise combinations PE_AIC neurons find each parameter estimation of the W, and after the training data is estimated in the estimation of output out_train, test data After the parameter estimates of the output estimated out_test, also compared with the actual sum of squared errors PESS, as well as the final criterion value AIC sym_representation seek the input and output values ​ ​ of symbolic expressions Criterion_value find criteria)

有关非线性滤波程序的说明文档，包括KF,EKF,UKF,GHF等各种方法(The documentation demonstrates the use of software as well as state-space estimation with Kalman filters in general. The purpose is not to give a complete guide to the subject, but to discuss the implementation and properties of Kalman filters. )

this .m file describes how to apply filters on Images ( sobel , Robert ... etc )..