Access Restriction

Author Sarra, Scott A.
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Post-processing Method ♦ Exponential Accuracy ♦ Pseudospectral Approximation ♦ Sharp Resolution ♦ Radial Basis Function Approximation Method ♦ Spectral Filter ♦ Image Processing ♦ Large Data Set ♦ Digital Total Variation Filtering ♦ Gibbs Oscillation
Description Digital total variation filtering is analyzed as a fast, robust, post-processing method for accelerating the convergence of pseudospectral approximations that have been contaminated by Gibbs oscillations. The method, which originated in image processing, can be combined with spectral filters to quickly post-process large data sets with sharp resolution of discontinuities and with exponential accuracy away from the discontinuities.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Institution Computers and Mathematics with Applications 52