NDLI: Frequency detection from multiplexed compressed sensing of noisy signals

Content Provider	IEEE Xplore Digital Library
Author	Satyanarayana, J.V. Ramakrishnan, A.G.
Copyright Year	2011
Description	Author affiliation: Department of Electrical Engineering, Indian Institute of Science, Bangalore, 560012, India (Satyanarayana, J.V.; Ramakrishnan, A.G.)
Abstract	Signal acquisition under a compressed sensing scheme offers the possibility of acquisition and reconstruction of signals sparse on some basis incoherent with measurement kernel with sub-Nyquist number of measurements. In particular when the sole objective of the acquisition is the detection of the frequency of a signal rather than exact reconstruction, then an undersampling framework like CS is able to perform the task. In this paper we explore the possibility of acquisition and detection of frequency of multiple analog signals, heavily corrupted with additive white Gaussian noise. We improvise upon the MOSAICS architecture proposed by us in our previous work to include a wider class of signals having non-integral frequency components. This makes it possible to perform multiplexed compressed sensing for general frequency sparse signals.
Starting Page	1
Ending Page	5
File Size	276136
Page Count	5
File Format	PDF
ISBN	9781612840901
e-ISBN	9781612840918
DOI	10.1109/NCC.2011.5734718
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-01-28
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sub-Nyquist sampling MUSIC Non-integer frequency Discrete Fourier transforms Spectral Compressed Sensing Signal reconstruction Multiple signal classification Frequency division multiplexing Compressed sensing Multiplexed signal acquisition Signal to noise ratio A/D Conversion
Content Type	Text
Resource Type	Article

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