User:Ozzy: Difference between revisions

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I would like to implement a general algorithm for maximum entropy reconstruction. This is an algorithm for estimating distributions which has applications in various inverse and/or ill-posed problems. It is used for deblurring/deconvolution of images, power spectrum estimation, smoothing, measurement data processing in biology, physics and more.
I would like to implement a general algorithm for maximum entropy reconstruction. This is an algorithm for estimating distributions which has applications in various inverse and/or ill-posed problems. It is used for deblurring/deconvolution of images, power spectrum estimation, smoothing, measurement data processing in biology, physics and more. The ground for the implementation would be the work of Skilling and Bryan [http://articles.adsabs.harvard.edu/full/1984MNRAS.211..111S]


The algorithm would find its place in one of the existing packages (where ''optim'' or ''signal'' sound appropriate) or as a separate package. I plan to prepare two versions of the general algorithm, (temporal name {{codeline|maxent}})
The algorithm would find its place in one of the existing packages (where ''optim'' or ''signal'' sound appropriate) or as a separate package. I plan to prepare two versions of the general algorithm, (temporal name {{codeline|maxent}})
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