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SVM_GUI_3.1[mcode]
matlab svm的gui操控界面，绝对可用！！！能够实现分类预测等强大的功能，可以根据自身需求设置各种参数！(GUI control interface matlab SVM, absolutely available!!! To achieve functional classification prediction, powerful, you can set various parameters according to their own needs!)
- 2014-02-19 10:12:35下载
- 积分：1
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SAR
初学SAR者非常有用的matlab源代码。(Beginners are very useful SAR matlab source code.)
- 2010-07-26 18:05:28下载
- 积分：1
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buscaRed.m
This code will find the best neural network by training a lot of times and calculating the MSE
- 2010-10-19 10:43:54下载
- 积分：1
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final_possion
实现泊松过程的仿真，并给出泊松过程波形和自相关函数波形.(Achieve Poisson process simulation, and gives a Poisson process waveform and autocorrelation function of the waveform.)
- 2013-11-06 16:12:06下载
- 积分：1
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内点法
内点法中加入线性罚函数的规划计算潮流问题(Point method to calculate the trend of the problem)
- 2018-01-06 13:17:41下载
- 积分：1
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workingjpeg
JPEG DCT based baseline method which divides the image into 8x8 blocks and quantize anthen entropy coded.
- 2009-07-13 14:06:16下载
- 积分：1
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EIGENFILT
这个代码是用来实现特征滤波器的，该滤波器基于最小二乘法，可以实现低通高通带通带阻带通等功能。(This program is to realize an Eigenfilter,which is based on total least squares.)
- 2015-04-09 09:51:38下载
- 积分：1
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fuzzy
Web日志模糊聚类算法的研究，模糊数学方法及其应用(Web Log fuzzy clustering algorithm, fuzzy mathematics and its application)
- 2010-09-17 10:12:55下载
- 积分：1
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ukf
An implementation of Unscented Kalman Filter for nonlinear state estimation.
(Nonlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation. However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system.
The Unscented Kalman Filter (UKF) is a novel development in the field. The idea is to produce several sampling points (Sigma points) around the current state estimate based on its covariance. Then, propagating these points through the nonlinear map to get more accurate estimation of the mean and covariance of the mapping results. In this way, it avoids the need to calculate the Jacobian, hence incurs only the similar computation load as the EKF.
For tutorial purpose, this code implements a simplified version of UKF formulation, where we assume both the process and measurement noises are additive to avoid augment of state and a)
- 2010-12-14 16:39:43下载
- 积分：1
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matlab7.0
说明： MATLAB70.从入门到精通的word 版教程，简单易懂，对初学MATLAB者非常有用(Matlab7.0, Word)
- 2010-04-20 10:23:40下载
- 积分：1
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