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msu_noise_estimator
it is estimtation of noise
- 2010-01-02 14:12:16下载
- 积分：1
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SteerableGaussianFilters
Steerable高斯图像滤波器，非常不错
在国外网站上找到的，可以学习
(Steerable Gaussian filter images, very good abroad found on the site, we can learn from)
- 2007-04-11 11:12:34下载
- 积分：1
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FuzzyNet
该文件是模糊神经网络的预测算法源程序，最初用于嘉陵江水质评价，测试成功。(The file is forecast fuzzy neural network algorithm source code, originally used in the Jialing River water quality assessment, the test is successful.)
- 2013-04-05 20:43:10下载
- 积分：1
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shipinfenxi
跳频通信的时频分析,稳定性分析及图片显示，跳频序列码的仿真(hop frequence STFT)
- 2013-10-28 10:29:55下载
- 积分：1
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srplems
This function uses SRP-PHAT with Stochastic Region Contraction (SRC) global-optimization algorithm to locate a single source using a frame of data and M microphones.
- 2010-06-03 11:24:23下载
- 积分：1
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jifm1056
this file is about risk managment in marketing....
- 2013-05-25 13:45:02下载
- 积分：1
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BachelarThesis
浙江大学的关于提取图像背景的报告（matlab），里面的方法给我很多启示，希望也能给你们一些启示，由于本人是初学者，有些方法还是看不懂！(Zhejiang University, on the extraction of image background report (matlab), inside the method for giving me a lot of inspiration, hope and also give you some inspiration, because I am a beginner, and some way to watch or do not understand!)
- 2007-09-24 11:57:42下载
- 积分：1
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splinefit
this the code for spline fit
- 2013-03-03 14:53:51下载
- 积分：1
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energy-storage-battery
超导储能蓄电池混合储能在风力发电中的应用(Superconducting magnetic energy
storage)
- 2014-01-12 12:23:45下载
- 积分：1
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fcn_SR_KF
This file compares three different versions of the Kalman filter.
The Kalman filter is used for recursive parameter estimation.
The Kalman filter can handle noisy measurements.
The first implemented filter (fcn_KF) is the Kalman filter with standard
update of the covariance matrix P.
The covariance matrix reflects the uncertainties of the predictions.
To improve the numerical stability Potter developed a
square root update (fcn_KF_SRP) of the covariance matrix P.
Another version is the square root covariance update via
triangularization (fcn_KF_SRT).
This file generates a model. Then the three Kalman filters perform an
estimation of the model parameter. At the end the results are compared.
Sources:
Simon, D. (2006): Optimal state estimation
Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques
Golub, G. (1996): Matrix Computations
- 2014-02-14 18:30:49下载
- 积分：1
