wireless-sensor-networks

This is a comprehensive book about MATLAB coding for econometric applications. all engineers and economist who concern about econometric, should read it

智能优化算法：蚁群算法的程序matlab 方便初学者学习(Intelligent optimization algorithms: ant colony algorithm to facilitate the procedures for matlab beginners to learn)

FISHER信息矩阵用matlab编写的源程序。(fisher matrix matlab program)

基于MATLAB的28节点辐射状的前推回代法 基于MATLAB的28节点辐射状的前推回代法(Forward and backward substitution method based on MATLAB 28 node radial radial ago 28 node based on MATLAB and backward substitution method)

- 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.)

explain Fish School Search

基于Matlab上，实现MFSK调制解调，Simulink文件。(Matlab-based, the realization of MFSK modem, Simulink files.)

This script shows orthogonallity between sub-carriers in OFDM is realized when signals complete integer number of cycles over same number of samples.

Greedy sanke algorithm implements(贪婪蛇算法的实现，该算法是对原Donna J. Williams 《A fast algorithm for active contours》 （1990） 论文的简化实现。对算法研究很有帮助。参数很多，需要调节才能获得良好的效果。)

recursive mean-separate histogram equalization