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Using of Discrete Orthogonal Transforms for Convolution [pdf]

29 pointsby alecdibbleabout 9 years ago

2 comments

thearn4about 9 years ago
I had a large interest in discrete convolution operations a few years ago, particularly in application to digital image processing. Two papers that I published may be of interest to those here:<p>[A paper that as a lemma demonstrates the influence of boundary conditions on the use of discrete orthogonal transformations for fast convolution operations] <a href="https:&#x2F;&#x2F;scholar.google.com&#x2F;citations?view_op=view_citation&amp;hl=en&amp;user=ZQzlOasAAAAJ&amp;citation_for_view=ZQzlOasAAAAJ:IjCSPb-OGe4C" rel="nofollow">https:&#x2F;&#x2F;scholar.google.com&#x2F;citations?view_op=view_citation&amp;h...</a><p>[accelerating convolution operations when a matrix factorization (SVD, DCT for jpeg, etc.) is already available]<p><a href="https:&#x2F;&#x2F;scholar.google.com&#x2F;citations?view_op=view_citation&amp;hl=en&amp;user=ZQzlOasAAAAJ&amp;citation_for_view=ZQzlOasAAAAJ:zYLM7Y9cAGgC" rel="nofollow">https:&#x2F;&#x2F;scholar.google.com&#x2F;citations?view_op=view_citation&amp;h...</a>
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tacosabout 9 years ago
I&#x27;m pretty sure this paper was generated by a bot. Aside from phrases like &quot;The evaluation of the WHTs product needs only real multiplications by +1 or 1&quot; I see phrases culled from expired patents. Googling pulls up a more interesting paper from the 70s. This is weird.
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