Y. Lu, J. Onativia and P. L. Dragotti, Sparse Representation in Fourier and Local Bases Using ProSparse: A probabilistic Analysis, IEEE Trans on Information Theory, to appear in 2017

J. Murray-Bruce and P.L. Dragotti, A Sampling Framework for Solving Physics-driven Inverse Source Problems, IEEE Trans. on Signal Processing, Vol. 65(24), pp. 6365-6380, December 2017 (open access).

S.Reynolds et al. ABLE: An Activity-Based Level Set Segmentation Algorithm for Two-Photon Calcium Imaging Data, eNeuro, October 2017 (open access).

Y. Zhang and P.L. Dragotti, Sampling streams of pulses with unknown shape, IEEE Trans. on  Signal Processing, vol 64(20), pp. 5450-5465, October 2016.

X. Wei and P. L. Dragotti, FRESH -FRI-based single image super-resolution algorithm, IEEE Trans on Image Processing,Vol.25(8), pp. 3723-3735, August 2016.(open access)

J. Murray-Bruce and P.L. Dragotti, Physics-driven quantized consensus for distributed diffusion source estimation using sensor networks, EURASIP Journal on Advances in Signal Processing, vol. 2016(14), February 2016 (open access)

J. Murray-Bruce and P.L. Dragotti, Estimating localized sources of diffusion fields using spatiotemporal sensor measurements, IEEE Transactions on Signal Processing, vol. 63 (12), pp. 3018-3031, June 2015,  (open access) [Demo].

X. Wei and P.L. Dragotti, Guaranteed Performance in the FRI setting, IEEE Signal Processing Letters, (to appear)

Zhang Y, Dragotti P.L., 2015. On the reconstruction of wavelet-sparse signals from partial Fourier information. IEEE Signal Processing Letters, Vol:22, Issue 9, Pages:1234-1238. [Supplementary information.]

J. Onativia and P.L. Dragotti, Sparse sampling: theory, methods and an application in neuroscience, Biological Cybernetics: Volume 109, Issue 1 (2015), Page 125-139, February 2015.

P.L. Dragotti and Y. Lu, On Sparse Representation in Fourier and Local Bases, IEEE Trans. on Information Theory, vol. 60 (12), pp. 7888-7899, December 2014 (open access) (software).

H. Pan, T. Blu, and P.L. Dragotti,, Sampling Curves With Finite Rate of Innovation, IEEE Trans. on Signal Processing, Vol 62(2), pp.458-471, January 2014.

J.A. Uriguen, T. Blu and P.L. Dragotti, FRI Sampling with Arbitrary Kernels', IEEE Trans. on Signal Processing, Vol 61(21), pp.5310-5323, November 2013.

J.Onativia, S. Schultz and P.L. Dragotti, A finite rate of innovation algorithm for fast and accurate spike detection from two-photon calcium imaging, Journal of Neural Engineering, 10 (4), August 2013.  (Data and Software).

M. Maggioni and P.L. Dragotti, Video Temporal Super-Resolution using Nonlocal Registration and Self-Similarity, IEEE Workshop on Multimedia Signal Processing, (MMSP), Montreal,Canada, September 2016.

J. Murray-Bruce and P.L. Dragotti, Solving Physics-Driven Inverse Problems via Structured Least Squares, in Proc. of European Signal Processing Conference, (EUSIPCO), Budapest, Hungary, August 2016.

S. Reynolds, C.S. Copeland, S. Schultz and P.L. Dragotti, An Extension of the FRI framework for Calcium Transient Detection, International Symposium on BioMedical Imaging, (ISBI), Prague, Czech Republic, April 2016.

M. S. Kotzagiannidis and P. L. Dragotti, The Graph FRI-Framework- Spline Wavelet Theory and Sampling on Circulant Graphs, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), Shanghai, China, March 2016

J. Oñativia, Y.M. Lu and P. L. Dragotti, ProSparse Denoise: Prony's based Sparse Pattern Recovery in the Presence of Noise, IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, March 2016

J. Murray-Bruce and P.L. Dragotti, Reconstructing Non-point Sources of Diffusion Fields using Sensor Measurements, IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, March 2016

S. Reynolds, J. Oñativia, C.S. Copeland, S. Schultz and P.L. Dragotti, Spike detection using FRI methods and protein calcium sensors: performance analysis and comparisons, Proc. of the 11th Int. Conf. on Samp. Theory and Appl. (SampTA), 2015.

J. Murray-Bruce and P.L. Dragotti, Consensus for the Distributed Estimation of Point Diffusion Sources in Sensor Networks, IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2015), Brisbane, Australia, April 2015.

J. Onativia, Y. M. Lu and P.L. Dragotti, Sparsity pattern recovery using FRI methods, IEEE International Conference on Acoustic, Speech and Signal Processing, Brisbane, Australia, April 2015.

J. Murray-Bruce and P.L. Dragotti, Reconstructing Diffusion Fields Sampled with a Network of Arbitrarily Distributed Sensors, in Proc. of European Signal Processing Conference, (EUSIPCO), Lisbon, Portugal, September 2014.

A. Scholefield and P.L. Dragotti, Accurate Image Registration using Approximate Strang-Fix and an Application in Image Super-Resolution, in Proc. of European Signal Processing Conference, (EUSIPCO), Lisbon, Portugal, September 2014.

J.Onativia, Y. Lu and P.L. Dragotti, Finite Dimensional FRI,  IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2014), Florence, Italy, May 2014.

J. Murray-Bruce and P.L. Dragotti, Spatiotemporal Sampling and Reconstruction of Diffusion Fields Induced by Point Sources, IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2014), Florence, Italy, May 2014.

X. Wei, P.L. Dragotti, Universal Sampling of Signals with Finite Rate of Innovation,  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014

Y. Zhang, P.L. Dragotti, The Modulated E-spline with Multiple subbands and its application to sampling wavelet-sparse signals, IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2014), Florence, Italy, May 2014.

P.L. Dragotti, J. Onativia, J. A. Uriguen, T. Blu, Approximate Strang-Fix: Sampling infinite streams of Diracs with any kernel, Proc. SPIE 8858, Wavelets and Sparsity XV, August,  2013.

J.A. Uriguen, P.L. Dragotti and T. Blu, Approximate FRI with Arbitrary Kernels, in Proc. of International Conference on Sampling Theory and Applications (SampTA), Bremen,Germany, June 2013.

J. Onativia, J. A. Uriguen and P.L. Dragotti, Sequential Local FRI Sampling of Infinite Streams of Diracs, in Proc. IEEE Int. Conf. on Acoustic, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 2013.

I. Weng, T. Blu and P.L. Dragotti, Finite Rate of Innovation with non-uniform Samples, IEEE international Conference on Signal Processing , Communications and Computing (ICSPC), Hong Kong, August 2012.

J. Caballero, J.A. Uriguen, S. Schultz and P.L. Dragotti, Spike Sorting at Sub-Nyquist Rates, in Proc. of IEEE International Conf. on Acoustic, Speech and Signal Processing (ICASSP), Kyoto, Japan, April 2012.

P.L. Dragotti,Sampling and Reconstruction driven by Sparsity Models: Theory and Applications, in Proc. of the 2012, IEICE General Conference, Okayama, Japan, March 2012

 J. Berent, P.L. Dragotti and T. Blu, Sampling Piecewise Sinusoidal Signals with Finite Rate of Innovation Methods, IEEE Trans. on Signal Processing, Vol. 58(2),pp. 613-625, February 2010.

L. Baboulaz and P.L. Dragotti,  Exact Feature Extraction using Finite Rate of Innovation Principles with an Application to Image Super-resolution, IEEE Transactions on Image Processing, Vol. 18(2), pp. 281-298, February 2009.

T. Blu, P.L. Dragotti, M. Vetterli, P. Marziliano and L. Coulot,  Sparse Sampling of Signal Innovations: Theory, Algorithms and Performance Bounds, IEEE Signal Processing Magazine,  vol. 25 (2), pp. 31-40, March 2008.

P.L. Dragotti, M. Vetterli and T. Blu,  Sampling Moments and Reconstructing Signals of Finite Rate of Innovation: Shannon meets Strang-Fix, IEEE Trans. on Signal Processing, vol.55 (5), pp. 1741-1757, May 2007.