Lorenz

对adc采样信号进行频谱分析，计算信噪比，有效位数等等重要参数(Adc sampling signal for spectrum analysis, calculate SNR, the effective number of bits so the important parameters)

极限学习机源代码 黄广斌 南洋理工大学循序渐进，让新手学会如何matlab编程(Extreme Learning Machine source code Huangguang Bin Nanyang Technological University, step by step, so that novices learn how matlab programming)

基于遗传算法的epginomics科学工作流调度优化算法.(a GA based for epginomics workflow scheduling optimization)

GPSINS组合定位的MATLAB程序,GPS/INS组合的MATLAB程序，国外的.(GPSINS the MATLAB program portfolio positioning, GPS/INS combinations MATLAB procedures abroad.)

practica pic usb com matlab este archivo no es propio es un archivo descargado de la web que comparto con ustedes

本代码为IEEE S_V信道的仿真文件！通过修改相应的参数 还可成为其他三种SV信道(This archive is based on ultra-wideband radio all the simulation code book! Editor Ge Lijia)

Data Analysis，matlab数据分析教材，英文版本，是一本比较新的资料(Data Analysis, matlab data analysis textbook English versions, is a relatively new information)

lmd 采用滑动平均处理，调整过，可以直接运行出图。(lmd hua dong pingjun)

plotHHT为一个绘制信号希尔伯特谱的程序，主要为希尔伯特黄变换。(PlotHHT is a program for plotting Hilbert spectrum of signals, which is mainly Hilbert Huang transform.)

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.)