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A new method to compute optimal periodic sampling patterns
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- Owrang, Arash, 1979 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Viberg, Mats, 1961 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Nosratinia, Mohsen, 1979 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Rashidi Avendi, Moslem, 1979 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- ISBN 9781612842271
- 2011
- Engelska.
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Ingår i: 2011 Digital Signal Processing and Signal Processing Education Meeting, DSP/SPE 2011 - Proceedings. - 9781612842271 ; , s. 259-264
- Relaterad länk:
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http://dx.doi.org/10...
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https://research.cha...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- It is possible to reconstruct a signal from cyclic nonuniform samples and thus take advantage of a lower sampling rate than the Nyquist rate. However, this has the potential drawback of amplifying signal perturbations, e.g. due to noise and quantization. We propose an algorithm based on sparse reconstruction techniques, which is able to find the sparsest sampling pattern that permits perfect reconstruction of the sampled signal. The result of our algorithm with a proper constraint values is a sparse subset of samples that results in an ideal condition number for its equivalent sub-DFT matrix. Besides, our algorithm has low complexity in terms of computation. The method is illustrated by simulations for a sparse multi band signal.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Nyckelord
- Sparse approximation
- greedy search
- nonuniform sampling
- condition number
- Basis Pursuit
Publikations- och innehållstyp
- kon (ämneskategori)
- vet (ämneskategori)