dc.contributor.author |
Sibgatullin M. |
|
dc.contributor.author |
Galimullin D. |
|
dc.contributor.author |
Kharintsev S. |
|
dc.contributor.author |
Bikmaev I. |
|
dc.contributor.author |
Salakhov M. |
|
dc.date.accessioned |
2018-09-18T20:07:55Z |
|
dc.date.available |
2018-09-18T20:07:55Z |
|
dc.date.issued |
2006 |
|
dc.identifier.issn |
0277-786X |
|
dc.identifier.uri |
https://dspace.kpfu.ru/xmlui/handle/net/136817 |
|
dc.description.abstract |
In the paper we deal with the removal of a noise from a high-resolution stellar spectra. For this purpose we use the wavelet denoising along with a minimal energy criteria that allows one to effectively divide into a "useful" and a parasite components. We test this approach on an example of reconstruction of a model signal blurred by a random fractal noise. |
|
dc.relation.ispartofseries |
Proceedings of SPIE - The International Society for Optical Engineering |
|
dc.subject |
Stellar spectra |
|
dc.subject |
Wavelet transform |
|
dc.title |
Noise elimination from stellar spectra |
|
dc.type |
Conference Paper |
|
dc.relation.ispartofseries-volume |
6181 |
|
dc.collection |
Публикации сотрудников КФУ |
|
dc.source.id |
SCOPUS0277786X-2006-6181-SID33645393931 |
|