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2006
Springer
13 years 7 months ago
Spiking Neural Network Based Classification of Task-Evoked EEG Signals
This paper presents an improved technique to detect evoked potentials in continuous EEG recordings using a spiking neural network. Human EEG signals recorded during spell checking,...
Piyush Goel, Honghai Liu, David J. Brown, Avijit D...
TASLP
2008
102views more  TASLP 2008»
13 years 7 months ago
On the Importance of the Pearson Correlation Coefficient in Noise Reduction
Noise reduction, which aims at estimating a clean speech from noisy observations, has attracted a considerable amount of research and engineering attention over the past few decade...
Jacob Benesty, Jingdong Chen, Yiteng Huang
ASE
2005
137views more  ASE 2005»
13 years 7 months ago
Rewriting-Based Techniques for Runtime Verification
Techniques for efficiently evaluating future time Linear Temporal Logic (abbreviated LTL) formulae on finite execution traces are presented. While the standard models of LTL are i...
Grigore Rosu, Klaus Havelund
TIT
2008
141views more  TIT 2008»
13 years 7 months ago
Dimensionality Reduction for Distributed Estimation in the Infinite Dimensional Regime
Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated wi...
Olivier Roy, Martin Vetterli
TSP
2008
157views more  TSP 2008»
13 years 7 months ago
A Two-Stage Approach to Estimate the Angles of Arrival and the Angular Spreads of Locally Scattered Sources
We propose a new two-stage approach to estimate the nominal angles of arrival (AoAs) and the angular spreads (ASs) of multiple locally scattered sources using a uniform linear arra...
Mehrez Souden, Sofiène Affes, Jacob Benesty