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impulse response computing

Started by ToF November 17, 2006
jim skrev:
> Rune Allnor wrote: > > > > Martin Eisenberg skrev: > > > Rune Allnor wrote: > > > > > > In some cases some severe simplifications and idealizations -- > > > > "severe" in the sense that they have introduced large errors -- > > > > have been used to obtain those separable functions. > > > > > > That's what I meant by the part of the sentence that you snipped, I > > > guess. Out of interest, what systems did those functions describe? > > > Did you choose separable approximations to simplify processing or for > > > other reasons? > > > > There are mainly two areas of 2D z transforms I have worked with: > > Images and Partial Differential Equations. > > > > Images are sampled on regular (n,m) points, so there separable > > kernels are used by default. > > If you are saying that the regular sampling of an image precludes the > use of filters that are not separable into 2 1d filters - that is > incorrect.
I did not. I am saying that image filters that are to be expressed as z transforms are expressed as at most two 1D transforms. Some are expressed even simpler; as one cylinder symmetric 1D ZT.
> If you are saying that they are not commonly used - that is > also incorrect. The commonly used implementation of a Sharpening filter > would be one example of a filter that can't be separated into two 1d > filters.
And how often do you see a sharpening filter extressed as a z transform? Rune