vgauthier-ieee802.15

FastICA算法,使用matlab语言,是非常好的独立成分分析工具.(Fast algorithm, using Matlab language, is a very good independent component analysis tools.)

Field of Digital Communications. Topic: Diversity Combining Matlab Program (m File) for exploiting Receiver Antenna Diversity: Performance Analysis of Maximal Ration Combining (MRC) and Equal Gain Combining EGC (EGC) with 3 Receiver Antennas

本程序主要通过仿真动态显示均匀平面电磁波中，磁场 Hz 的波阵面在自由空间（理想介质）中的传播。(The program primarily through dynamic simulation shows uniform plane wave, the magnetic field Hz wavefront in free space (ideal medium) in the transmission.)

BPSK调制，包括误码率统计和误符号率统计(BPSK modulation, including bit error rate and symbol error rate statistics Statistics)

使用c-均值聚类算法在IRIS数据上进行聚类分析，随机选择三个初始聚类中心，经过多次迭代，最终将150个样本分为三类。(Use c-means clustering algorithm in the IRIS data on the cluster analysis, three randomly chosen initial cluster centers, through a series of iterative, 150 samples will eventually fall into three categories.)

mfsk modulation in matlab

about saham predict with genetic algoritm and neural network. this program can prediction the flowing of saham.

The firefly algorithm (FA) is a metaheuristic algorithm, inspired by the flashing behaviour of fireflies. The primary purpose for a firefly s flash is to act as a signal system to attract other fireflies. Xin-She Yang formulated this firefly algorithm by assuming:[1] All fireflies are unisexual, so that one firefly will be attracted to all other fireflies Attractiveness is proportional to their brightness, and for any two fireflies, the less bright one will be attracted by (and thus move to) the brighter one however, the brightness can decrease as their distance increases If there are no fireflies brighter than a given firefly, it will move randomly. The brightness should be associated with the objective function. Firefly algorithm is a nature-inspired metaheuristic optimization algorithm.

视频背景非参数估计论文及matlab实现.matlab代码只实现了灰度图的背景估计，论文利介绍的彩色视频处理方法可以自己看看怎么做。(Background and Foreground Modeling Using Nonparametric Kernel Density Estimation for Visual Surveillance AHMED ELGAMMAL, RAMANI DURAISWAMI, MEMBER, IEEE, DAVID HARWOOD, AND LARRY S. DAVIS, FELLOW, IEEE Invited Paper )

on method for solving permutation problem