esprit

说明：  选择性读入并筛选数据，然后已ASCII码输出。Matlab程序。(Matlab program on loading and export database.)

A simple binary Ga for optimization.

matlab edge detection projectr

CLAHE的matlab实现算法，经过测试可用。(CLAHE the matlab algorithm, tested available.)

说明：   使用二分法对样本集进行剪辑，剪辑法的思想，就是将样本集分成训练集与考试集， 利用训练集样本对考试集的样本进行分类（使用近邻法），如果考试集中某个样本分类错误的话，将这个样本删除。在该函数中，使用最近邻法，只进行一次剪辑（遍历完考试集中的样本以后退出）。还有一种重复剪辑法（适用于样本比较多的情况），把样本随机分为多个样本集，将相邻的两个样本前一个作为考试集，后一个作为训练集，调用二分剪辑。所有的样本子集剪辑完毕以后，在递归调用，直到没有样本被剪辑掉,没得讲，重复剪辑的效果肯定好一些。 (The sample sets using the dichotomy of the clips, editing law idea is to sample set into training set and test set, using the training set samples to the test set of samples (using the nearest neighbor algorithm), if the examination focused on a sample of classification error then delete this sample. In the function, use the nearest neighbor method, only once clips (focused on a sample of traversal finished after the exit exam). There is also a repeat clip method (samples are more applicable to the case), the samples were randomly divided into multiple sample set, the two adjacent samples of the former one as a test set, the latter one as a training set, call the two sub-clips. All the samples were a subset of the clips after they have finished, in the recursive call, until there are no samples were clip out, did not have to say that the effect of repeated clips definitely better.)

模拟出一个雷达系统的匹配滤波器，并给出脉冲压缩的结果(Simulate a radar system, a matched filter, and gives the result of pulse compression)

本实验主要是学会利用matlab软件，在用编程语言实现单样本均值和方差的区间估计的过程中，调用matlab工具中的数学函数来完成计算功能，并绘制出样本均值概率分布图和样本方差分布图。(This experiment is to learn to use matlab software, a programming language to achieve a single sample interval estimation of the mean and variance of the process, call matlab tool to calculate mathematical functions to perform the function, and draw out the probability distribution of the sample mean and sample variance distribution Figure.)

PSO FOR TUNNING PARAMERTRS OF PID CONTROLLER

信号为两个正弦信号加高斯白噪声，各正弦信号的信噪比均为10dB，长度为N，信号频率分别为 和 ，初始相位 ，取 ， 取不同数值：0.3，0.25。 为采样频率。分别用Levinson递推法和Burg法进行功率谱估计，并分析改变数据长度、模型阶数对谱估计结果的影响。(Signal into two sinusoidal signals applied Gaussian white noise, the SNR of each sinusoidal signals are 10dB, a length of N, respectively, and the signal frequency, initial phase, take, take different values: 0.3,0.25. It is the sampling frequency. Respectively Levinson recursion method and Burg method for power spectrum estimation, and change the length of the data analysis, the impact of model order estimation result spectrum.)

此代码利用高斯牛顿迭代法，对非线性函数进行参数辨识。可以对传递函数通过阶跃响应实验得到的数据进行迭代获得传递函数的参数(The code uses the Gauss-Newton iteration method to identify the parameters of the non-linear function. The parameters of the transfer function can be obtained by iterating the data obtained from the step response experiment of the transfer function.)