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Compressive Shift R...
Compressive Shift Retrieval
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- Ohlsson, Henrik (författare)
- Linköpings universitet,Reglerteknik,Tekniska högskolan,Univ Calif Berkeley, CA 94720 USA
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- Eldar, Yonina C. (författare)
- Technion Israel Institute Technology, Israel
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- Yang, Allen Y. (författare)
- University of Calif Berkeley, CA 94720 USA
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- Shankar Sastry, S. (författare)
- University of Calif Berkeley, CA 94720 USA
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2014
- 2014
- Engelska.
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Ingår i: IEEE Transactions on Signal Processing. - : Institute of Electrical and Electronics Engineers (IEEE). - 1053-587X .- 1941-0476. ; , s. 4105-4113
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The classical shift retrieval problem considers two signals in vector form that are related by a shift. This problem is of great importance in many applications and is typically solved by maximizing the cross-correlation between the two signals. Inspired by compressive sensing, in this paper, we seek to estimate the shift directly from compressed signals. We show that under certain conditions, the shift can be recovered using fewer samples and less computation compared to the classical setup. We also illustrate the concept of superresolution for shift retrieval. Of particular interest is shift estimation from Fourier coefficients. We show that under rather mild conditions only one Fourier coefficient suffices to recover the true shift.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Nyckelord
- Parameter estimation; compressed sensing; signal processing algorithms; signal sampling
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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