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HankelTransform
Matlab Hankel变换源代码,可以直接当做MATLAB toolbox来使用(
MATLAB toolbox
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Hankel transform
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** Contents
1. Introduction
2. Requirements
3. Implementation details
4. References
5. Copyright
6. Warranty
7. History
8. Download
9. Trademarks
** Publisher
Marcel Leutenegger marcel.leutenegger@epfl.ch
EPFL STI IOA LOB
BM 4.143 Tel: +41 21 693 77 19
Station 17
CH-1015 Lausanne
1. Introduction
The Hankel transform of order n transforms rotationally symetric inputs in a
computationally efficient manner. In particular, the Hankel transform of order
0 is equivalent to the two-dimensional Fourier transform of a rotationally
symetric input. This package contains four implementations of the Hankel
transform and the inverse Hankel transform, respectively.
2. Requirements
?MATLAB 6.0 or newer.
3. Implementation details
The package ships fou)
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(In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.
)
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