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Matlab环境下设计直观、功能强大的PID参数优化计算GUI界面。(Matlab environment, design an intuitive and powerful GUI interface of PID Parameter Optimization.)

柱形统计图，能够直接得出图像的灰度直方图。 里面有程序的源代码(Histogram, can directly draw the image histogram. There are procedures for source code)

认知无线电 CFN检测算法 有仿真 有数据分析 可以作为学习的模块(CFN cognitive radio simulation testing algorithm can be used as a data analysis module of learning)

OFDM信号的导频的插入包含LS,LMMSE,线性插值等(OFDM pilot signal insertion include LS, LMMSE, linear interpolation)

Copyright (c) 2013, Amit TIWARI All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

MATLAB是美国MathWorks公司出品的商业数学软件，用于算法开发、数据可视化、数据分析以及数值计算的高级技术计算语言和交互式环境，主要包括MATLAB和Simulink两大部分(The MathWorks Inc. MATLAB is a U.S. commercial mathematics software for algorithm development, data visualization, data analysis, and numeric computation senior technical computing language and interactive environment, including MATLAB and Simulink two most)

This is the PDF Rice code in Matlab

逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))

该算法是用正交多项式来求最小二乘拟合多项式。(This algorithm is to use orthogonal polynomials to seek least-squares polynomial fitting.)

Nonlinear Multiresolution Functions