A Matricial Algorithm for Polynomial Refinement

Computer Science – Information Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

In order to have a multiresolution analysis, the scaling function must be refinable. That is, it must be the linear combination of 2-dilation, $\mathbb{Z}$-translates of itself. Refinable functions used in connection with wavelets are typically compactly supported. In 2002, David Larson posed the question in his REU site, "Are all polynomials (of a single variable) finitely refinable?" That summer the author proved that the answer indeed was true using basic linear algebra. The result was presented in a number of talks but had not been typed up until now. The purpose of this short note is to record that particular proof.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

A Matricial Algorithm for Polynomial Refinement does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A Matricial Algorithm for Polynomial Refinement, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Matricial Algorithm for Polynomial Refinement will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-376022

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.