Can Hexagonal Sampling Improve Efficiency of Kronecker Product Matrices?

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Hi everyone,

I have a general question regarding KPM. Since kronecker product matrices have cartesian tiling, I was wondering if these could be made more efficient by implementing hexagonal sampling instead of cartesian within kronecker matrices. Is it possible to do that? I'm confused since kronecker matrices are separable and I just wanted to have a clear theoretical idea on how could I switch to hexagonal sampling or blue noise sampling to increase the efficiency of kronecker product matrices.
Your ideas would be warmly appreciated.
 
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4real4sure said:
I was wondering if these could be made more efficient by implementing hexagonal sampling instead of cartesian within kronecker matrices.

You haven't explained any statistical context for your question. What are you trying to estimate by sampling? What kind of data is being sampled? If this is a complicated scenario, what are some links to places that describe it?
 

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