NaSch_3

1) 已知x=[1:15], y=[12 34 56 78 99 123 165 198 243 277 353 345 303 288 275], 用多项式进行拟合，给出拟合多项式，(所选拟合多项式阶数不同，拟合结果不同，请你选择适当的阶数进行拟合)，并绘出原始数据点、拟合曲线和95％置信区间（confidence bounds）的图形 . 2) 根据下面数学模型建立仿真模型，并在一个示波器中把它们的波形仿真出来。 (1) are known to x = [1:15], y = [12 34 56 78 99 123 165 198 243 277 353 345 303 288 275], with polynomial fitting, given the polynomial fitting, (the election order polynomial fitting different fitting results to differ, please select the appropriate order of fit), and draw original data points, fitting curve and 95 confidence interval (confidence bounds) graphics .2 ) In accordance with the following mathematical model for the establishment of simulation model, and in an oscilloscope waveform in their simulation out.)

模式识别,26个英文字母的识别，运行环境在matlab中(Pattern Recognition)

This document is about Algorithm Number.

本文是用矩形窗法设计FIR带通滤波器，来滤除音乐信号的噪声(this is rectangular window design FIR bandpass filter to filter out the noise signal Music)

K均值聚类，输入聚类前的点集以及阈值，输出最后各个分类的中心点(K-means clustering, the input point set before clustering and threshold, output the final classification of the center of each)

ICA Clustering In computer science, Imperialist Competitive Algorithm (ICA)[1] is a computational method that is used to solve optimization problems of different types. Like most of the methods in the area of evolutionary computation, ICA does not need the gradient of the function in its optimization process. From a specific point of view, ICA can be thought of as the social counterpart of genetic algorithms (GAs). ICA is the mathematical model and the computer simulation of human social evolution, while GAs are based on the biological evolution of species

Secret Sharing Scheme

说明：  比较好用的watterson模型仿真代码(A better use of Watterson model simulation code)

matlab 的数学方法，很好的书籍，可作为手头必备(matlab mathematical methods, good books, can be used as an essential on-hand)

反射式半导体光放大器的静态建模和动态建模(steady model and dynamic model of RSOA )