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» Causal signal recovery from U-invariant samples
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TIT
2010
128views Education» more  TIT 2010»
12 years 12 months ago
Shannon-theoretic limits on noisy compressive sampling
In this paper, we study the number of measurements required to recover a sparse signal in M with L nonzero coefficients from compressed samples in the presence of noise. We conside...
Mehmet Akçakaya, Vahid Tarokh
ICML
2009
IEEE
14 years 6 months ago
Detecting the direction of causal time series
We propose a method that detects the true direction of time series, by fitting an autoregressive moving average model to the data. Whenever the noise is independent of the previou...
Arthur Gretton, Bernhard Schölkopf, Dominik J...
ICASSP
2008
IEEE
13 years 11 months ago
Reconstructing sparse signals from their zero crossings
Classical sampling records the signal level at pre-determined time instances, usually uniformly spaced. An alternative implicit sampling model is to record the timing of pre-deter...
Petros Boufounos, Richard G. Baraniuk
TSP
2010
12 years 12 months ago
Sampling piecewise sinusoidal signals with finite rate of innovation methods
We consider the problem of sampling piecewise sinusoidal signals. Classical sampling theory does not enable perfect reconstruction of such signals since they are not bandlimited. ...
Jesse Berent, Pier Luigi Dragotti, Thierry Blu
TSP
2010
12 years 12 months ago
Time-delay estimation from low-rate samples: a union of subspaces approach
Time-delay estimation arises in many applications in which a multipath medium has to be identified from pulses transmitted through the channel. Previous methods for time delay reco...
Kfir Gedalyahu, Yonina C. Eldar