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» A linear implementation of PACMAN
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TSP
2010
15 years 1 months ago
Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
Avishy Carmi, Pini Gurfil, Dimitri Kanevsky
TSP
2010
15 years 1 months ago
A recursive method for the approximation of LTI systems using subband processing
Using the subband technique, an LTI system can be implemented by the composition of an analysis filterbank, followed by a transfer matrix (subband model) and a synthesis filterbank...
Damián Marelli, Minyue Fu
ICASSP
2011
IEEE
14 years 10 months ago
Parallel computation of adaptive lattice filters
Parallel computation of the adaptive lattice filtering algorithm is difficult due to the dependency problem caused by feedback operations. The conventional control-level paralle...
Dong-hwan Lee, Wonyong Sung
AIME
2011
Springer
14 years 6 months ago
HRVFrame: Java-Based Framework for Feature Extraction from Cardiac Rhythm
Heart rate variability (HRV) analysis can be successfully applied to automatic classification of cardiac rhythm abnormalities. This paper presents a novel Java-based computer frame...
Alan Jovic, Nikola Bogunovic
CVPR
2012
IEEE
13 years 11 months ago
Foreground Detection Using Spatiotemporal Projection Kernels
Foreground detection is at the core of many video processing tasks. In this paper, we propose a novel video foreground detection method that exploits the statistics of 3D space-tim...
Y. Moshe, H. Hel-Or, and Y. Hel-Or