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Chapter4
- (书)现代通信系统使用MATLAB第四章-ALLIANCES is a recently proposed cooperative random access protocol for wireless networks. In this paper we modify the original model to include user location information. We also derive pair-w
16QAM
- matlab实现16QAM调制解调 matlab实现16QAM调制解调-ALLIANCES is a recently proposed cooperative random access protocol for wireless networks. In this paper we modify the original model to include user location information. We also
location_relay_selection
- H. Yang, A.P. Petropulu, X. Yang and T. Camp, ?ALLIANCES with Optimal Relay Selection,"IEEE Trans. on Vehicular Technology, January 2008. (MATLAB Code)-H. Yang, A.P. Petropulu, X. Yang and T. Camp, ?ALLIANCES with Optima
lasso
- lasso变量选择方法，通过惩罚项解决过拟合的问题-lasso variable selection method
Verver_FS_Version_5.1.6
- Feature Selection using matlab
select
- Roulette Wheel Selection
water_select
- MIMO下天线选择matlab仿真实现，比较简单-MIMO antenna selection under
bubble_quick_selection_sorts
- bubble sort quick sort selection sort developed to measure time performance of each sorting and compare their results with each other for very large data set 2
IEEEXplore-4.pdf
- Mutual Information Feature Selection
2005S9568
- feature selection from iris data set it will use statistical methods and get the best set of features then use graphs to classify the data-feature selection from iris data set it will use statistical methods and get the
autochannel-1.0.tar
- 自动天线的选择，从sourceforge下载的-Automatic selection of antenna, from sourceforge download
genetic_algorithm_matlab
- fga.m 为遗传算法的主程序 采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作-fga.m the main program for the genetic algorithm using binary Gray encoding, roulette wheel based on the law of non-linear ranking selection, uniform cr
NSA
- 否定选择算法的仿真 希望大家能好好学习 好东西和大家分享-Negative selection algorithm for the simulation of hope that we can learn good things and to share
pr2007.pdf
- The BYY annealing learning algorithm for Gaussian mixture with automated model selection
wenj
- adaboost FEATURE SELECTION USING ADABOOST FOR FACE EXPRESSION RECOGNITION-FEATURE SELECTION USING ADABOOST FOR FACE EXPRESSION RECOGNITION
patternRecognition
- 这系列课件系统地讲述了模式识别的基本理论和基本方法。内容涵盖了贝叶斯决策、概率密度函数的估计、线性判别函数、邻近法则、特征的选择和提取、非监督学习、神经网络、模糊模式识别等。-This series of courseware on a pattern recognition system to the basic theory and basic methods. Covers the Bayesian decision-making
FeatureSelectiom
- this file is for feature selection
PresentationPro_FreeSample.ZIP
- this file is for feature selection
Derya_Ozkan
- Feature Selection for Face Recognition Using a Genetic Algorithm
script_ber_bpsk_rayleigh_channel_selection_divers
- scr ipt for computing the BER for BPSK modulation in a Rayleigh fading channel with selection diversity -scr ipt for computing the BER for BPSK modulation in a Rayleigh fading channel with selection diversity