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test
Script compares different algorithms of boosting family: methods = { AdaBoostM1 , LogitBoost , GentleBoost , RobustBoost , Bag }
- 2012-12-03 22:16:53下载
- 积分：1
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Kalman
matlab的卡尔曼滤波预测算法例子，希望对大家有帮助(matlab prediction algorithm of the Kalman filter example, we would like to help)
- 2008-01-08 10:03:33下载
- 积分：1
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compress
Chevyshev algoritmo de filtro
- 2010-05-23 00:13:42下载
- 积分：1
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CH12
matlab经典程序，里面代码简洁，功能强大，视频资料我也有(matlab classic program, which the code is simple, powerful, video material I have)
- 2013-08-05 09:42:55下载
- 积分：1
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Experiment 4- Root Locus
CODE FOR ROOT LOCUS EXPERIMENT
- 2020-06-24 03:40:02下载
- 积分：1
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myditfft
function y=myditfft(x)
《数字信号处理教程——MATLAB释义与实现》
用MATLAB语言编写的基2 DIT FFT子程序(function y = myditfft (x) " digital signal processing tutorial- MATLAB Interpretation and Implementation" MATLAB language with the base 2 DIT FFT Subroutine)
- 2010-06-26 11:38:11下载
- 积分：1
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oeFilter
code de filtrage d une image
- 2009-11-23 17:27:06下载
- 积分：1
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Localization
MATLAB仿真LEACH算法，对研究WSN能量路由有很大帮助(MATLAB simulation of LEACH algorithm, the study of great help WSN energy routing)
- 2013-12-28 14:09:59下载
- 积分：1
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EM_GM
％ EM algorithm for k multidimensional Gaussian mixture estimation
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％ Inputs:
％ X(n,d) - input data, n=number of observations, d=dimension of variable
％ k - maximum number of Gaussian components allowed
％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none)
％ maxiter - maximum number of iteration allowed ([] for none)
％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none)
％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none)
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％ Ouputs:
％ W(1,k) - estimated weights of GM
％ M(d,k) - estimated mean vectors of GM
％ V(d,d,k) - estimated covariance matrices of GM
％ L - log likelihood of estimates
％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)
- 2008-04-27 15:51:27下载
- 积分：1
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Programming-MATLAB-and-VCP-P
简要介绍VC++与MATLAB联合编程技术(VC++ introduced the joint programming with MATLAB)
- 2011-01-22 15:49:03下载
- 积分：1
