pca-fault

求解时间序列的K_entropy熵的MATLAB 程序，大家啊可以看看，希望对大家有帮助(Solving time series K_entropy Entropy MATLAB program, we can look at ah, I hope all of you will help)

说明：  应用遗传算法解决多峰函数优化问题，气宗遗传算法的步骤很完备。(Application of genetic algorithms to solve multimodal function optimization, genetic algorithms gas were the steps are complete.)

the leach algorimth for wsn

去斜率（strech）参考信号与回波信号混频后得到中频输出信号S(t)=Aexp(j*2*pi*f0*t+phase) 其中f0与回波延时的关系为： f0=k*delay_t K为线性调频斜率，delay_t为回波延时 将s(t)采样，FFT变换即可得到目标距离与频谱的关系。 Strech 信号测距 输入混频后的中频信号（图一），经采样及FFT变换得到频谱（图二） 再根据频谱与距离的关系式R=Tcf/2B显示出距离(图三) (Go slope (strech) obtained after the reference signal and the echo signal mixer IF output signal S (t) = Aexp (j* 2* pi* f0* t+phase) f0 and echo delay relationship: f0 = k* delay_t K chirp slope, delay_t the echo delay sampling s (t), the FFT transform to the target distance spectrum of relations. Strech signal ranging input mixer IF signal (Figure 1), sampling and FFT transform spectrum (Figure 2) according the the spectrum distance relationship R = Tcf/2B shows the distance (Figure 3))

finger print knowledge sharing with two type of datas

有小波分析的盲信号处理，matlab编写的元胞自动机，基于分段非线性权重值的Pso算法，包括主成分分析、因子分析、贝叶斯分析，滤波求和方式实现宽带波束形成，正确率可以达到98％。(There Wavelet Analysis Blind Signal Processing, matlab prepared cellular automata, Based on piecewise nonlinear weight value Pso algorithm, Including principal component analysis, factor analysis, Bayesian analysis, Filtering summation way broadband beamforming, Accuracy can reach 98 .)

经典语音降噪算法，提高语音信号信噪比和语音可读性，谱减法源代码(Classic voice noise reduction algorithms to improve the readability of signal-to-noise ratio and the voice of the voice signal to spectral subtraction source code)

Short M-LAb robotics localize

file dll very important to run spike undefr matlab code.

#include "comparer.h" #include <iostream> using namespace std int Comparer::compareByName(Student& s1,Student& s2) { return strcmp(s1.m_szName,s2.m_szName) } int Comparer::compareBySurname(Student& s1,Student& s2) { return strcmp(s1.m_szSurname,s2.m_szSurname) } int Comparer::compareByGroup(Student& s1,Student& s2) {