kalman_filter

这个实例是基于传递函数在simulink平台上的建模，是以多环控制系统为例来验证的。里面涉及到各种参数的设置，同时还提到了如何通过simulink原理图得到系统的状态方程，以及输出波形。(This example is based on simulink transfer function modeling platform, is more for the control system as an example to verify.)

Plotting antenna radiation

Returns weighted percentiles of a sample given the weight vector w ％ The idea is to give more emphasis in some examples of data as compared to ％ others by giving more weight. For example, we could give lower weights to ％ the outliers. ％ The motivation to write this function is to compute percentiles for Monte ％ Carlos simulations where some simulations are very bad (in terms of goodness ％ of fit between simulated and actual value) than the others and to give ％ the lower weights based on some goodness of fit criteria.(Returns weighted percentiles of a sample given the weight vector w The idea is to give more emphasis in some examples of data as compared to others by giving more weight. For example, we could give lower weights to the outliers. The motivation to write this function is to compute percentiles for Monte Carlos simulations where some simulations are very bad (in terms of goodness of fit between simulated and actual value) than the others and to give the lower weights based on some goodness of fit criteria .)

这个程序用来计算单层膜的厚度和折射率的信息，以及可以得到他们的局部分部信息(This file is about the caluation for the thickness and refractiveness of the sample, and the distrbution about it can be obtained)

一类变时滞随机神经网络的系统状态仿真例子(A class of stochastic neural networks varying delay system status simulation example)

说明：  用粒子群算法去优化一个给定的函数，使其找到最小值或最大值(Using particle swarm algorithm to optimize a given function, to find the minimum or maximum value)

说明：  全相位APFFT与传统的FFT算法对频率和相位进行估计(Frequency and phase estimation of all-phase APFFT and traditional FFT algorithm)

说明：  MATLAB程序（附图像），对图像商标文字的分割。(MATLAB (AP like), the trademark image segmentation words.)

This is part of DTC-ST strukture work in matlab simulink

信号分析里常用，求局部极大极小值的位置！用积分平均的方法！(Commonly used in signal analysis, seeking the position of the local minimax value! Integral average method!)