OFDM

关于极限学习机在脑电信号中的应用的主程序表示说明(About extreme learning machine in the application of brain electrical signal of the main program said )

驱动力和制动力是车辆纵向力学特性中重要部分，本程序采用matlab，根据发动机的万有特性曲线和循环工况，绘制出车辆的驱动力和制动力随时间的关系(The driving force and braking force is an important part of the vehicle longitudinal mechanical properties, the program uses matlab, according to the universal characteristic curve of the engine and the driving cycle, to map out the driving force and braking force of the vehicle over time)

这是一个应用一致性几何绕射理论编写的简单程序，初学学者可作为参考(This is a simple program UTD written application, can be used as a reference for beginners and scholars)

Base64编码说明 Base64编码要求把3个8位字节(3*8=24)转化为4个6位的字节(4*6=24),之后在6位的前面补两个0,形成8位一个字节的形式。 如果剩下的字符不...(Base64-encoded instructions require the Base64 encoding three 8-bit bytes (3* 8 = 24) was converted to 4 6 bytes (4* 6 = 24), then in front of the two s complement 6 0, 8 is formed bits in a byte form. If the rest of the characters do not ...)

第3个：matlab 和C++联合用于SLSVM，另外一种风格的(the 3file: matlab and c++ together for SVM)

说明：  VS中开发的一个C与matlab混合编程的小程序，该类可以使用到其他的MFC程序中去。 但是注意，使用时，要把matlab所在的本地文件夹中的extern中的lib和include添加到VS的工程属性的lib和include路径中去。且要添加四个lib文件。(VS in the development of a mixed C and matlab programming small programs, the class can use the program to other MFC to. Note, however, when used, should matlab local folder where the extern in the lib and include added to the VS project properties go to lib and include paths. And to add four lib.)

说明：  蚁群算法研究 Ant colony algorithm(Ant colony algorithm. Txt)

位置感知应用程序市场 位置估算技术 其它S60 平台运行时中的位置API 使您的应用程序感知位置时需要考虑的因素 协助测试的开发工具。(Location-aware applications market position estimation techniques other S60 platform run-time the position of the API to your application-aware location factors to be considered to help test the development tools.)

信息熵 离散无记忆信道容量的迭代计算 Shannon编码 Fano编码 Huffman编码(Discrete information entropy of the iterative calculation of the memory channel capacity Shannon coding Fano coding Huffman coding)

function [ H ,S ] = HS( f ) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1=diff(f,x1) f2=diff(f,x2) S= [f1 f2] H = [diff(f1,x1) diff(f1,x2) diff(f2,x1) diff(f2,x2)] end s0=subs(S,findsym(S),[0 0])(function [H, S] = HS (f) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1 = diff (f, x1) f2 = diff (f, x2) S = [f1 f2] H = [diff (f1, x1) diff (f1, x2) diff (f2, x1) diff (f2, x2)] end s0 = subs (S, findsym (S), [0 0 ]))