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Time-frequency and time-scale methods: adaptive decompositions, uncertainty principles, and sampling

Detalles Bibliográficos
Autores principales: Hogan, Jeffrey A, Lakey, Joseph D
Lenguaje:eng
Publicado: Springer 2005
Materias:
Acceso en línea:https://dx.doi.org/10.1007/b139077
http://cds.cern.ch/record/1251388
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author Hogan, Jeffrey A
Lakey, Joseph D
author_facet Hogan, Jeffrey A
Lakey, Joseph D
author_sort Hogan, Jeffrey A
collection CERN
id cern-1251388
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2005
publisher Springer
record_format invenio
spelling cern-12513882021-04-22T01:26:59Zdoi:10.1007/b139077http://cds.cern.ch/record/1251388engHogan, Jeffrey ALakey, Joseph DTime-frequency and time-scale methods: adaptive decompositions, uncertainty principles, and samplingMathematical Physics and MathematicsSpringeroai:cds.cern.ch:12513882005
spellingShingle Mathematical Physics and Mathematics
Hogan, Jeffrey A
Lakey, Joseph D
Time-frequency and time-scale methods: adaptive decompositions, uncertainty principles, and sampling
title Time-frequency and time-scale methods: adaptive decompositions, uncertainty principles, and sampling
title_full Time-frequency and time-scale methods: adaptive decompositions, uncertainty principles, and sampling
title_fullStr Time-frequency and time-scale methods: adaptive decompositions, uncertainty principles, and sampling
title_full_unstemmed Time-frequency and time-scale methods: adaptive decompositions, uncertainty principles, and sampling
title_short Time-frequency and time-scale methods: adaptive decompositions, uncertainty principles, and sampling
title_sort time-frequency and time-scale methods: adaptive decompositions, uncertainty principles, and sampling
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/b139077
http://cds.cern.ch/record/1251388
work_keys_str_mv AT hoganjeffreya timefrequencyandtimescalemethodsadaptivedecompositionsuncertaintyprinciplesandsampling
AT lakeyjosephd timefrequencyandtimescalemethodsadaptivedecompositionsuncertaintyprinciplesandsampling