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pfewiem
interface for 3D image approximation
- 2009-10-27 06:43:40下载
- 积分：1
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SARImagingUsingMATLAB
Synthetic Aperture RADAR imaging model. Implemented in MATLAB
- 2012-05-07 19:08:00下载
- 积分：1
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randwalk2d.m
This is a good example of brownian motion is cartesian coordinates. the results are illustrated
- 2013-02-26 03:04:19下载
- 积分：1
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audioFeatureExtraction
A program used for feature extraction in matlab. Can be used for emotion recognition in artificial neural network.
- 2014-09-30 05:28:32下载
- 积分：1
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固体+液体组合式声子晶体求能带matlab程序
说明： 固体/液体组合式声子晶体求能带结构图matlab程序(Matlab program for calculating band structure diagram of solid / liquid combined phononic crystal)
- 2021-04-20 17:28:49下载
- 积分：1
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RLS
写了著名的最小二乘算法的matlab程序，可以看到其算法的实现过程(Wrote a well-known least squares algorithm matlab program, you can see the realization of the process of its algorithm)
- 2007-10-26 23:17:02下载
- 积分：1
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MATLABapplicationbook
matlab书，对基本算法，波形处理，仿真工具，系统控制有详细介绍，特别是对各种工具的介绍很全(matlab book, the basic algorithm, waveform processing, simulation tools, system control has a detailed introduction, especially for the introduction of tools is very wide)
- 2008-05-22 09:25:00下载
- 积分：1
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异步双馈风力发电机的simulink仿真模型DFIG2
异步双馈风力发电机的simulink仿真模型，可修改参数(Simulink simulation model of asynchronous doubly-fed wind turbines, can modify the parameters)
- 2020-07-05 18:58:59下载
- 积分：1
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Reed_Solomon_code_matlab
rs编码的matlab程序，很详细，方便初学者学习(rs encoded matlab procedures, very detailed, easy for beginners to learn)
- 2008-04-07 21:48:48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
