featureselection

计算机组成原理的实验报告，非常完整，一共二十多页，希望对大家有所帮助！(Computer organization lab reports, very complete, a total of more than 20 pages, we want to help!)

matlab读取bin或其他文件，修改其中数据，把数据生成到txt文档(matlab read bin or other document, modify the data, the data generated into txt file)

PWM整流直接功率控制simmulink模型搭建。 模型搭建清楚明了，比同原理模型“three_to_one_3_26”更简单(Direct power of the PWM rectifier control simmulink model structures. )

使用matlab程序实现最小二乘法的基本原理和多项式拟合算法程序(the code for least square with matlab)

进行多项式拟合曲线和参数，给出数据和m文件(Polynomial curve fitting and parameters, given the data and m files)

对文件夹下的EXECL文档进行批量计算，该程序用来计算NeuroSky采集到的raw data脑电数据的小波熵，经过验证得到的结论和别人得到的结论一样(help you to calculate the wavelet entropy, the data is collected from NeuroSky Mindset, it is worth for you to read and understand it.)

无线传感器网络时间同步算法案例及matlab仿真(Case Study of Time Synchronization Algorithms in Wireless Sensor Networks)

Frequency offset estimation in 802.11a OFDM preamble

M序列的matlab实现，M序列算法，系统辨识用到的，(Matlab realization of M sequences, M sequences algorithm, system identification is used,)

说明：  一种最小二乘法的RBF网络 ---------------------------------- radical basis function neural network ------------------------------------------ clear all close all global sp k w2 b2 unitcenters alldatanum=400 traindatanum=300 testdatanum=100 sp=8 errorlimit=0.1 u=rand(1,alldatanum+10) y=zeros(1,alldatanum+10) for i=4:alldatanum+3 y(1,i)=1.5*y(1,i-1)*y(1,i-2)*y(1,i-3)/(3+y(1,i-1)+y(1,i-2)*y(1,i-2)+... y(1,i-3)*y(1,i-3)*y(1,i-3))+u(1,i)+u(1,i-1)+u(1,i-2) 。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。(radical basis function neural network ------------------------------------------ clear all close all global sp k w2 b2 unitcenters alldatanum=400 traindatanum=300 testdatanum=100 sp=8 errorlimit=0.1 u=rand(1,alldatanum+10) y=zeros(1,alldatanum+10) for i=4:alldatanum+3 y(1,i)=1.5*y(1,i-1)*y(1,i-2)*y(1,i-3)/(3+y(1,i-1)+y(1,i-2)*y(1,i-2)+... y(1,i-3)*y(1,i-3)*y(1,i-3))+u(1,i)+u(1,i-1)+u(1,i-2) 。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。)