Title
Design of universal multicoset sampling patterns for compressed sensing of multiband sparse signals
Abstract
Many problems in digital communications involve wideband radio signals. As the most recent example, the impressive advances in Cognitive Radio systems make even more necessary the development of sampling schemes for wideband radio signals with spectral holes. This is equivalent to considering a sparse multiband signal in the framework of Compressive Sampling theory. Starting from previous results on multicoset sampling and recent advances in compressive sampling, we analyze the matrix involved in the corresponding reconstruction equation and define a new method for the design of universal multicoset codes, that is, codes guaranteeing perfect reconstruction of the sparse multiband signal.
Year
DOI
Venue
2012
10.1109/ICASSP.2012.6288630
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
codes,cognitive radio,compressed sensing,digital communication,matrix algebra,signal reconstruction,signal sampling,cognitive radio systems,compressed sensing theory,compressive sampling,digital communications,multiband sparse signals,reconstruction equation,sparse multiband signal reconstruction,spectral holes,universal multicoset code design,universal multicoset sampling pattern design,wideband radio signal sampling scheme,Multicoset sampling,TI-ADC,compressive sampling,multiband sparse signal,universal pattern
Matrix (mathematics),Computer science,Theoretical computer science,Artificial intelligence,Compressed sensing,Wideband,Pattern recognition,Signal-to-noise ratio,Algorithm,Design methods,Sampling (statistics),Signal reconstruction,Cognitive radio
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4673-0044-5
978-1-4673-0044-5
1
PageRank 
References 
Authors
0.36
0
8