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ETT
2000
106views Education» more  ETT 2000»
13 years 9 months ago
On Union Bounds for Random Serially Concatenated Turbo Codes with Maximum Likelihood Decoding
The input-output weight enumeration (distribution) function of the ensemble of serially concatenated turbo codes is derived, where the ensemble is generated by a uniform choice ov...
Igal Sason, Shlomo Shamai
LOBJET
2000
84views more  LOBJET 2000»
13 years 9 months ago
Typing Concurrent Objects and Actors
ABSTRACT. As informal methods do little to help their use for concurrent and distributed programming, one of the most challenging current tasks is to build tools based on formal me...
Fabien Dagnat, Marc Pantel, Matthias Colin, Patric...
IJON
2002
91views more  IJON 2002»
13 years 9 months ago
Information transmission by stochastic synapses with short-term depression: neural coding and optimization
The ability of dynamic synapses with short-term depression to transmit the information present in the presynaptic spike train to the postsynaptic neuron is discussed. Both by mini...
Jaime de la Rocha, Angel Nevado, Néstor Par...
TIT
2002
125views more  TIT 2002»
13 years 9 months ago
Optimal bi-level quantization of i.i.d. sensor observations for binary hypothesis testing
We consider the problem of binary hypothesis testing using binary decisions from independent and identically distributed (i.i.d). sensors. Identical likelihood-ratio quantizers wit...
Qian Zhang, Pramod K. Varshney, Richard D. Wesel
TMI
2008
138views more  TMI 2008»
13 years 8 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...