Abstract | ||
---|---|---|
Two-sided spectra of patterns based on classes of orthogonal matrices are introduced and their main properties are discussed. In particular, the "mosaicness" of patterns is studied. Some effects of noise on mosaics can effectively be analyzed in the spectral domain. The mosaic structure of patterns can easily be recognized in the spectral domain, albeit the mosaic structure cannot always be unambiguously determined. 2D-Dirichlet kernels based on non-Abelian groups may however be used for a more efficient analysis of mosaics. |
Year | Venue | Keywords |
---|---|---|
2012 | JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING | Spectral techniques,Chrestenson transform,mosaics |
Field | DocType | Volume |
Pattern recognition,Computer science,Artificial intelligence,Spectral analysis,Machine learning | Journal | 19 |
Issue | ISSN | Citations |
SP4 | 1542-3980 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Claudio Moraga | 1 | 612 | 100.27 |
Radomir S. Stankovic | 2 | 188 | 47.07 |
Jaakko Astola | 3 | 1515 | 230.41 |