46
edits
Ozzy
Joined 25 March 2015
→Y: Your task
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* another version would be defined for a non-linear function. The declaration would very similar | * another version would be defined for a non-linear function. The declaration would very similar | ||
{{Code|Linear problem declaration|<syntaxhighlight lang="octave" style="font-size:13px">[x,info,...]=maxent(y,fun,sigma,alpha=0.95, model=1, optset) | {{Code|Linear problem declaration|<syntaxhighlight lang="octave" style="font-size:13px">function [x,info,...]=maxent(y,fun,sigma,alpha=0.95, model=1, optset) | ||
</syntaxhighlight>}} | </syntaxhighlight>}} | ||
All the parameters have the similar meaning here, and the new parameter {{codeline|fun}} is the handle to a function which accepts vector argument, which describes the problem. This time the returned value should obey <math> y \approx f(x)</math> | All the parameters have the similar meaning here, and the new parameter {{codeline|fun}} is the handle to a function which accepts vector argument, which describes the problem. This time the returned value should obey | ||
<math> y \approx f(x)</math> | |||
* some wrapper functions will be provided to allow the user quickly use MEM in their problem. This includes function for 1D and image deconvolutions, time series components analysis, power spectral estimation and other applications I will be able to find in Matlab or other computational software. | * some wrapper functions will be provided to allow the user quickly use MEM in their problem. This includes function for 1D and image deconvolutions, time series components analysis, power spectral estimation and other applications I will be able to find in Matlab or other computational software. | ||