Function deconvlucy​(I,psf,Ite​r,...)

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?

[yicong]

how do you solve this later? Is the result true all the time?