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FRI Toolbox

This repository contains results reproduced from literature on Finite Rate of Innovation (FRI) Signal Processing. Please refer to the list of citations in the relavant files.

References

  • M. Vetterli, P. Marziliano and T. Blu, "Sampling signals with finite rate of innovation," in IEEE Transactions on Signal Processing, vol. 50, no. 6, pp. 1417-1428, June 2002, doi: 10.1109/TSP.2002.1003065. Paper.

  • T. Blu, P. Dragotti, M. Vetterli, P. Marziliano and L. Coulot, "Sparse Sampling of Signal Innovations," in IEEE Signal Processing Magazine, vol. 25, no. 2, pp. 31-40, March 2008, doi: 10.1109/MSP.2007.914998. Paper.

  • M. Vetterli, P. Marziliano and T. Blu, "Sampling signals with finite rate of innovation," in IEEE Transactions on Signal Processing, vol. 50, no. 6, pp. 1417-1428, June 2002, doi: 10.1109/TSP.2002.1003065. Paper.

  • R. Tur, Y. C. Eldar and Z. Friedman, "Innovation Rate Sampling of Pulse Streams With Application to Ultrasound Imaging," in IEEE Transactions on Signal Processing, vol. 59, no. 4, pp. 1827-1842, April 2011, doi: 10.1109/TSP.2011.2105480. Paper.

  • S. Mulleti and C. S. Seelamantula, "Paley–Wiener Characterization of Kernels for Finite-Rate-of-Innovation Sampling," in IEEE Transactions on Signal Processing, vol. 65, no. 22, pp. 5860-5872, 15 Nov.15, 2017, doi: 10.1109/TSP.2017.2733484. Paper.

  • Pan, Hanjie, Thierry Blu, and Martin Vetterli. "Towards generalized FRI sampling with an application to source resolution in radioastronomy." IEEE Transactions on Signal Processing 65.4 (2016): 821-835. Paper, Codes.

  • Simeoni, Matthieu, et al. "CPGD: Cadzow plug-and-play gradient descent for generalised FRI." IEEE Transactions on Signal Processing 69 (2020): 42-57. Paper, Codes.

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FRI Toolbox with basic MATLAB routines

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