how do you solve this later? Is the result true all the time?
Function deconvlucy(I,psf,Iter,...)
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I'm interested in thermal modelling. I'm trying to solve the heat path resistances and time constants using Bayesian deconvolution.
Thermal resistance R(z) can be solved using Richardson-Lucy iteration equation (below). a' is dT/dz, where T is the temperature and z = ln(t),
where t is time. Time scale is set logarithmic. Wz is the weighting function. In this case Wz(z) = exp(z-exp(z)).
My question 1) As deconvlucy( ) is used for image processing meaning the input is 2D matrix. Can this function be used
with vector input (1D)?
2) Can I solve the thermal resistance R(z) using function call R=deconvlucy(a',Wz,iter) ? Iter is the number of iterations. Is it the
same as n in the equation above?
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