__Matlab-zuiyouhuawenti

matlab数学手册，全面介绍了matlab在数值计算时的用法。(mathematics matlab manuals, a comprehensive introduction to numerical calculation in matlab usage.)

说明：  神经网络仿真具有更加实时跟踪反应实际数据变化的功能，其逼近能力更强(Neural network simulation with a more real-time tracking changes in response to the function of the actual data, the more powerful approach)

对于两种目标类型，有无脉冲积累的SNR相对检测距离的曲线。(For both target types, with or without pulse accumulation of SNR relative detection distance curve.)

这个就是MU的原版客户端文件里的ITEM备份，可以用来修改(Clients original files, you can back up with it, ha ha ha ha ha ha ha ha)

kalman滤波算法预测matlab源程序(matlab source kalman filtering algorithm predicts)

fit_maxwell_pdf - Non Linear Least Squares fit of the maxwellian distribution. given the samples of the histogram of the samples, finds the distribution parameter that fits the histogram samples. fits data to the probability of the form: p(r) = sqrt(2/pi)*(a^(-3/2))*(r^2)*exp(-(r^2)/(2*a)) with parameter: a format: result = fit_maxwell_pdf( x,y,W,hAx ) input: y - vector, samples of the histogram to be fitted x - vector, position of the samples of the histogram (i.e. y = f(x,a)) W - matrix or scalar, a square weighting matrix of the size NxN where N = length(y), or 0 to indicate no weighting is needed. hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields a - fitted parameter VAR - variance of the estimation type- weighted LS or not weighted LS iter- number of iteration for the solution

多变量多尺度熵分析程序，对研究信号的来说，很重要，代码来自一学者网站(Multivariate multiscale entropy analysis program for the study of the signal, it is important, a scholar website code)

小波神经网络的PPT，包括很多实用性的东西(Wavelet Neural Networks PPT, including a lot of practical things)

this package is som tool box for clustering algorithm

這是我用scilab寫的高私後向消去與樞軸的程式語法，和高絲後向消去法的差異可見(This is what I write with scilab after the high-private programs to eliminate and pivot grammar, and high-thread after the elimination of the difference can be seen)