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» Extracting Randomness Using Few Independent Sources
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ICASSP
2011
IEEE
12 years 11 months ago
Topographic phase maps using iterative independent component analysis
In this study, we employed our recently developed iterative independent component analysis (iICA) procedure to measure single-trial EPs from auditory N100 recordings of 21 normal ...
Darshan Iyer, George Zouridakis
ICDE
2008
IEEE
106views Database» more  ICDE 2008»
14 years 1 months ago
DIPBench: An independent benchmark for Data-Intensive Integration Processes
— The integration of heterogeneous data sources is one of the main challenges within the area of data engineering. Due to the absence of an independent and universal benchmark fo...
Matthias Böhm, Dirk Habich, Wolfgang Lehner, ...
ASIACRYPT
2003
Springer
14 years 18 days ago
The Insecurity of Esign in Practical Implementations
Provable security usually makes the assumption that a source of perfectly random and secret data is available. However, in practical applications, and especially when smart cards a...
Pierre-Alain Fouque, Nick Howgrave-Graham, Gwena&e...
IDA
2009
Springer
14 years 1 months ago
Cumulative State Coherence Transform for a Robust Two-Channel Multiple Source Localization
This work presents a novel robust method for a two-channel multiple Time Difference of Arrival (TDOA) estimation. The method is based on a recursive frequency-domain Independent C...
Francesco Nesta, Piergiorgio Svaizer, Maurizio Omo...
TIT
2010
61views Education» more  TIT 2010»
13 years 2 months ago
Tunstall code, Khodak variations, and random walks
A variable-to-fixed length encoder partitions the source string into variable-length phrases that belong to a given and fixed dictionary. Tunstall, and independently Khodak, desig...
Michael Drmota, Yuriy A. Reznik, Wojciech Szpankow...