MIMO_OFDM_Simulator

基于MATLAB软件的有关雷达杂波的的很多个程序，相信对初学入门者很有帮助 (Based on MATLAB software on the radar clutter of many programs, I believe that is helpful for beginners beginners)

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Matlab 与 Visual C++ 联合编程教程第一章(Visual C++ & Matlab unit-design)

matlab演化博弈模型及程序，对研究生来说是很有用处的(matlab evolutionary game model and procedures, it is useful to graduate)

一个PLS的matlab程序，包括求残差矩阵求回归方程的系数，删除回归分析的常数项，求误差平方和。(A PLS matlab procedures, including seeking residual matrix coefficients of the regression equation, deleted regression constant term, seeking the error sum of squares.)

深度优先搜索算法Matlab源码。。。。。

一个小巧有限元计算软件fem的licence和一个例子(A compact fem finite element software and an example of licence)

MODTRAN MATLAB 结合使用且可以移植到VC(MODTRAN MATLAB and can be used in conjunction ported to VC)

matlab模拟退火算法的TSP算法，并实现以求解得到最优。(matlab simulated annealing algorithm TSP algorithm and implementation.)

- XCS for Dynamic Environments + Continuous versions of XCS + Test problem: real multiplexer + Experiments: XCS is explored in dynamic environments with different magnitudes of change to the underlying concepts. +Reference papers: H.H. Dam, H.A. Abbass, C.J. Lokan, Evolutionary Online Data Mining – an Investigation in a Dynamic Environment. 2005, accepted for a book chapter in Springer Series on Studies in Computational Intelligence H.H. Dam, H.A. Abbass, C.J. Lokan, Be Real! XCS with Continuous-Valued Inputs. IWLCS 2005, (International Workshop on Learning Classifier Systems). Washington DC, June 2005.(- XCS for Continuous Dynamic Environments Test versions of XCS problem : real multiplexer Experiments : XCS is explored in dynamic environments with di fferent magnitudes of change to the underlying concepts. Reference papers : H. H. Dam, H. A. Abbass, C. J. Lokan. Evolutionary Online Data Mining-an Investiga tion in a Dynamic Environment. 2005. accepted for a book chapter in Springer Series o n Studies in Computational Intelligence H.H. D am, H. A. Abbass, C. J. Lokan. Be Real! XCS with Continuous- Valued Inputs. IW LCS 2005. (International Workshop on Learning Classifi er Systems). Washington DC, June 2005.)