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Statistical_adaptive
统计与自适应信号处理，对智能天线的 学习有帮助(Statistical and adaptive signal processing, the study of smart antenna help)
- 2010-12-27 22:51:06下载
- 积分：1
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pingfanggenfa
说明： 用matlab算法实现的平方根算法 用于数值分析中平方根发求解线性方程(Matlab algorithm using the square root algorithm for the numerical analysis of the square root of hair for solving linear equations)
- 2008-11-17 21:52:25下载
- 积分：1
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SVM
SVM_for_classficationS200502106 SVM用于模式分类 matlAB实现(SVM_for_classfication S200502106' SVM for pattern classification matlAB achieve)
- 2010-10-21 19:31:37下载
- 积分：1
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[gantetu1]=TSP11ACO1411
计算流水车间的工件距离，以便于下面计算工件的调度
- 2010-08-21 16:11:40下载
- 积分：1
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gatbx
generic algorithm code in matlab
- 2012-05-02 19:51:17下载
- 积分：1
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Hopfield-NN
HOPFIELDNETWORK M-file for HopfieldNetwork.fig . HOPFIELDNETWORK, by itself, creates a new HOPFIELDNETWORK or raises the existing singleton*.
H = HOPFIELDNETWORK returns the handle to a new HOPFIELDNETWORK or the handle to
the existing singleton*.
HOPFIELDNETWORK( CALLBACK ,hObject,eventData,handles,...) calls the local
function named CALLBACK in HOPFIELDNETWORK.M with the given input arguments.
HOPFIELDNETWORK( Property , Value ,...) creates a new HOPFIELDNETWORK or raises the
existing singleton*. Starting from the left, property value pairs are
applied to the GUI before hopfieldNetwork_OpeningFunction gets called. An
unrecognized property name or invalid value makes property application
stop. All inputs are passed to hopfieldNetwork_OpeningFcn via varargin.
- 2012-06-21 19:56:41下载
- 积分：1
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SPWM
基于matlab/simulink的SPWM仿真建模(Based on matlab/simulink simulation modeling of SPWM)
- 2021-04-08 15:39:00下载
- 积分：1
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hosa1
计算高阶统计量的程序，包括WVD、伪WVD，平滑WVD(Calculation of higher-order statistics of the procedures, including the WVD, pseudo-WVD, smoothed WVD)
- 2008-08-22 08:36:09下载
- 积分：1
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painting
Beginning a source photograph, this demo will create an image with a hand-painted appearance. It can do this in three distinct styles, Impressionist , Expressionist and Pointillist .
- 2014-11-11 18:42:54下载
- 积分：1
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rnnsim
RNNSIM ver. 1.0 is a program with an intercative graphical user interface
(GUI) that runs under MATLAB ver. 5.0 or higher. The program can be used
in training and testing the Random Neural Network(RNN) models.
This version (ver. 1.0) implements only the 3 layer feed forward RNN model.
In the next versions, the multi hidden layers and the recurrent RNN models
can be implemented. To obtain faster training, the training section can be
written as a MEX file and invoked from the GUI.
If you have the m files in the directory rnnsim for example, then you can
run the program following the next steps:
1- run MATLAB as usual
2- from the MATLAB command window, write cd rnnsim
3- from the MATLAB command window, write rnnsim
- 2010-03-04 16:55:55下载
- 积分：1
