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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/933235
- An L0 norm based method for frequency estimation from irregularly sampled data
Hyder, Md Mashud;
- The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
- We present a frequency estimation method based on a sparse representation of irregular samples with an overcomplete basis. We enforce sparsity by imposing penalties based on an approximate ℓ₀-norm. A number of recent theoretical results on compressed sensing justify this choice. Explicitly enforcing the sparsity of the representation is motivated by a desire to obtain a sharp estimate of the frequency spectrum that exhibits super-resolution. Our formulation leads to an optimization problem, which we solve efficiently in an iterative algorithm. The simulation results demonstrate that that the proposed algorithm outperforms several other state-of-art methods.
- 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010). 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings (Dallas, TX 14-19 April, 2010) p. 4022-4025
- Publisher Link
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
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