Grant: Discovery Grants Program - Individual
University of British Columbia
$74,000.00
Compressed sensing and related areas: bridging theory with practice
FY 2021-22
Summary
analogue-to-digital conversion; applied and computational harmonic analysis; compressed sensing; low-dimensional structure; low-rank matrix recovery; mathematics of information; quantization; source coding; sparse recovery
Program
Discovery Grants Program - Individual
Recipient
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2017-03845
Name nom
Yilmaz, Ozgur
Department département
Mathematics
Organization id
2
Institution établissement
University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2017
Award amount
74000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1508
Committee name en
Mathematics and Statistics
Committee name fr
Mathématiques et statistique
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2955
Research subject group en
Applied mathematics
Research subject group fr
Mathématiques appliquées
Research subject en
Numerical analysis
Research subject fr
Analyse numérique
Installment
inst:5; 6
Partie
2
Nb partie
6
Application title
Compressed sensing and related areas: bridging theory with practice
Keyword
NSERC
Application summary
analogue-to-digital conversion; applied and computational harmonic analysis; compressed sensing; low-dimensional structure; low-rank matrix recovery; mathematics of information; quantization; source coding; sparse recovery
