mimo-ofdm

计算上田阵子的最大利亚普诺夫函数的matlab源码程序, 是确定系统的常微分方程。(the matlab code is using to caculat duffing the max lyapunvo about determined duffing system .)

此是MATLAB7.0程序设计的那本书的源代码，希望对大家能有所帮助。(This book MATLAB7.0 programming source code, I hope that we can help.)

this file is about risk managment in marketing....

解决了如何进行傅里叶变换时频率轴的标定等问题(A common use of Fourier transforms is to find the frequency components of a signal buried in a noisy time domain signal)

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.(AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.)

finite difference method有限差分法求波导的TM模式(finite difference method finite difference method for the TM waveguide mode)

g(x)=f(m,n,L), 其中,m,n,L均服从正态分布,分布情况也在所给的图中. 使用matlab,用蒙特卡罗模拟法 对该函数进行模拟,得出g(x)大于0的概率.(G (x) =f (m, N, L), of which, m, N, L are the normal distribution, distribution is also in the picture. The use of MATLAB, simulates the function by Monte Carlo method, the G (x) greater than 0 probability.)

fortan的二维波动方程正演程序，适合初学者借鉴学习。(The program forward two-dimensional wave equation fortan, suitable for beginners to learn. )

基于matlab的卷积码编码和译码，以及对卷积码性能分析(Based on matlab convolution coding and decoding, and convolutional code performance analysis)

主要用来计算复杂网络的平均聚集系数，用matlab开发的！(Mainly used to calculate the average complex network aggregation coefficient, developed with matlab!)