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» On the Processing of Decimated Signals
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JCNS
2000
168views more  JCNS 2000»
13 years 10 months ago
Integrating Top-Down and Bottom-Up Sensory Processing by Somato-Dendritic Interactions
The classical view of cortical information processing is that of a bottom-up process in a feedforward hierarchy. However, psychophysical, anatomical, and physiological evidence sug...
Markus Siegel, Konrad P. Körding, Peter K&oum...
ICASSP
2009
IEEE
14 years 5 months ago
A hybrid method for deconvolution of Bernoulli-Gaussian processes
We investigate a hybrid method which improves the quality of state inference and parameter estimation in blind deconvolution of a sparse source modeled by a Bernoulli-Gaussian pro...
Sinan Yildirim, Ali Taylan Cemgil, Aysin Ertü...
APCCM
2009
13 years 12 months ago
Conceptional Modeling and Analysis of Spatio-Temporal Processes in Biomolecular Systems
In life science, deeper understanding of biomolecular systems is acquired by computational modeling and analysis. For the modeling of several kinds of reaction networks, e.g. sign...
Andreas Schäfer, Mathias John
TIP
2010
164views more  TIP 2010»
13 years 5 months ago
A Marked Point Process for Modeling Lidar Waveforms
Lidar waveforms are 1D signals representing a train of echoes caused by reflections at different targets. Modeling these echoes with the appropriate parametric function is useful ...
Clément Mallet, Florent Lafarge, Michel Rou...
ICASSP
2009
IEEE
14 years 5 months ago
On the error exponents for detecting randomly sampled noisy diffusion processes
This paper deals with the detection of a continuous random process described by an Ornstein-Uhlenbeck (O-U) stochastic differential equation. Randomly spaced sensors or equivalent...
Walid Hachem, Eric Moulines, Jamal Najim, Fran&cce...