Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/9236
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Perović A. | en |
dc.contributor.author | Dordević Z. | en |
dc.contributor.author | Paskota M. | en |
dc.contributor.author | Takači A. | en |
dc.contributor.author | Jovanović, Aleksandar | en |
dc.date.accessioned | 2019-09-30T09:14:27Z | - |
dc.date.available | 2019-09-30T09:14:27Z | - |
dc.date.issued | 2013-01-01 | en |
dc.identifier.issn | 17858860 | en |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/9236 | - |
dc.description.abstract | This paper presents progress in the investigation and development of methods for the automatic localization, extraction, analysis and comparison/classification of the features in signals and their spectra. With diverse applications, different feature attributes turn out to be significant for the investigated phenomena. The general feature characteristics are morphologic and therefore suitable for a variety of algorithms focused on visual data processing, which we use in the automatic feature recognition. Our major applications were in the analysis of biological signals, and acoustic, sonar and radar signals; the methods presented here are applicable in other areas as well. | en |
dc.relation.ispartof | Acta Polytechnica Hungarica | en |
dc.title | Automatic recognition of features in spectrograms based on some image analysis methods | en |
dc.type | Journal/Magazine Article | en |
dc.identifier.scopus | 2-s2.0-84877298866 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/84877298866 | en |
dc.relation.lastpage | 172 | en |
dc.relation.firstpage | 153 | en |
dc.relation.issue | 2 | en |
dc.relation.volume | 10 | en |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
Appears in Collections: | TF Publikacije/Publications |
SCOPUSTM
Citations
6
checked on Feb 22, 2020
Page view(s)
11
Last Week
8
8
Last month
0
0
checked on May 10, 2024
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.