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Reconstruction of Finite Rate of Innovation Signals with Model-Fitting Approach
2015
IEEE Transactions on Signal Processing
Finite rate of innovation (FRI) is a recent framework for sampling and reconstruction of a large class of parametric signals that are characterized by finite number of innovations (parameters) per unit interval. In the absence of noise, exact recovery of FRI signals has been demonstrated. In the noisy scenario, there exist techniques to deal with non-ideal measurements. Yet, the accuracy and resiliency to noise and model mismatch are still challenging problems for real-world applications. We
doi:10.1109/tsp.2015.2461513
fatcat:nkbsn73drnhthfenrtmitgyrga