test-filter_1

Kpca，matlab编写代码，程序，特征提取好方法，值得一看。(Kpca, matlab code, and procedures, good feature extraction method, worth a look. )

点目标距离多普勒算法仿真 matlab程序(Range-Doppler algorithm for point target simulation program matlab)

space Time Block code

MATLAB的LDA人脸识别计算率的程序在ORL库上可以运行的(MATLAB calculation of the rate of the LDA Face Recognition in the program can run on the ORL database of)

matlab code for salt and pepper noise removal

repval(X) finds all repeated values for input X, and their attributes. (The input may be vector, matrix, char string, or cell of strings Y=repval(X) returns the repeated values of X [RV, NR, POS, IR]=repval(X) returns the following outputs RV : Repeated Values (sorted) NR : Number of times each RV was repeated POS : Position vector of X of RV entries IR : Index of repetition Example: X=[1 5 5 9 5 5 1] [RV,NR,POS,IR]=repval(X) Output: RV = [1 5] Numbers 1 and 5 are repeated values NR = [2 4] Respectively repeated 2 and 4 times POS = [1 7 2 3 5 6] Position index of X for repeated values IR = [1 1 2 2 2 2] Corresponding to which index of RV )

一个非常经典的核统计学习工具箱。集成了kpca、kdr、ksri等。具有分类和回归双重功能。(A very classic nuclear statistical learning toolbox. Integrated kpca, kdr, ksri and so on. Classification and regression with a dual function.)

GM(1,1)模型1-4 1：GM(1,1)模拟模型，在matlab中的输入方法为gm1（x），x指要模拟的序列。 2：GM(1,1)预测模型，在matlab中的输入方法为gm2（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 3：GM(1,1)群模拟模型，在matlab中的输入方法为gm3（x），x指要模拟的序列。 4：GM(1,1)群预测模型，在matlab中的输入方法为gm4（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 gm4对序列趋势比较好的数据预测效果较好，对上下变动的数据，特别是后4个数据趋势跟前面的数据相反的，预测效果很差。 gm2对上下变动的数据，预测效果比gm4好，但对趋势较好的数据，预测精度没有gm4高。 gm3比gm1模拟精度要高。 可以以x=[1 3 5 7 9 11 13 15]进行实验。x输入默认行向量。 所有程序在matlab6.0上调试通过。(GM (1,1) 1-4 1 : GM (1,1) simulation model Matlab in the input method for gm1 (x), x entail simulation sequence. 2 : GM (1,1) model, in the Matlab input method for gm2 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. 3 : GM (1,1)- simulation model, in the Matlab input method for gm3 (x), x entail simulation sequence. 4 : GM (1,1)- forecasting model, in the Matlab input method for gm4 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. Gm4 right sequence relatively good trend data predicted better results, the next change in the data, especially after four data with the previous trend data contrary, predict poor. Gm2 next to the change in forecast resu)

Section_4_BD_heterogeneous_MIMO. simulation algorithm in MIMO -OFDM

hslogic算法仿真,基于MATLAB的TSP算法的优化仿真与性能分析(Hslogic algorithm simulation, optimization simulation and performance analysis of TSP algorithm based on MATLAB)