radiationbigger

it read an ascii file, cut the signal, organize in a matrix, and the output will be a .mat or .txt file.

基于FFT的非相关累加捕获伪码，并计算各个信噪比下的检测概率。(FFT-based non-related pseudo-code cumulative capture and calculate the probability of detection under various signal to noise ratio.)

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))

说明：  通过复杂例子，采用误差反向传播的BP算法，实现Kp、Ki、Kd参数自整定(Through complex examples, BP algorithm of error back propagation is adopted to realize self-tuning of Kp, Ki and Kd parameters)

matlab code for Navie Bayes

包括灰色模型主程序灰色模型被调用子函数，该子函数命名为(Including gray model is called the gray model main subroutine, the subroutine named)

用小波函数进行分解与重构信号，通过重构信号在进行基音检测的运算(Wavelet function decomposition and reconstruction signal through the reconstructed signal during operation pitch detection)

这是我在万方图书馆下载的关于MATLAB和vc混合编程的书籍，有介绍原理和也有介绍具体实现的。(This is my library at万方download vc on MATLAB and mixed programming books, has introduced the principle and also the introduction of specific implementation.)

给定控制顶点，绘制出B样条曲线，不是很好，大家可以学习一下(The given control vertex arrays, fitting out of B spline curve, is not very perfect, we can learn about it )

Simulation of basic circuit eletric