
Multiscale computing
Author(s) -
Mei Kobayashi,
Toshio Irino,
Wim Sweldens
Publication year - 2001
Publication title -
proceedings of the national academy of sciences of the united states of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.231384298
Subject(s) - computer science , computer graphics , computation , graphics , signal processing , wavelet , data science , theoretical computer science , computational science , artificial intelligence , algorithm , computer graphics (images) , digital signal processing , computer hardware
Multiscale computing (MSC) involves the computation, manipulation, and analysis of information at different resolution levels. Widespread use of MSC algorithms and the discovery of important relationships between different approaches to implementation were catalyzed, in part, by the recent interest in wavelets. We present two examples that demonstrate how MSC can help scientists understand complex data. The first is from acoustical signal processing and the second is from computer graphics.