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CORR
2008
Springer
158views Education» more  CORR 2008»
13 years 5 months ago
Distributed and Recursive Parameter Estimation in Parametrized Linear State-Space Models
We consider a network of sensors deployed to sense a spatio-temporal field and infer parameters of interest about the field. We are interested in the case where each sensor's...
S. Sundhar Ram, Venugopal V. Veeravalli, Angelia N...
CORR
2010
Springer
84views Education» more  CORR 2010»
13 years 5 months ago
Left-Inverses of Fractional Laplacian and Sparse Stochastic Processes
The fractional Laplacian (-)/2 commutes with the primary coordination transformations in the Euclidean space Rd: dilation, translation and rotation, and has tight link to splines, ...
Qiyu Sun, Michael Unser
ICASSP
2011
IEEE
12 years 9 months ago
Adaptive recursive FLANN filters for nonlinear active noise control
In this paper, a recursive nonlinear filter exploiting trigonometric expansions of the past output samples is introduced. Its peculiarity is, in general, the ability to model rea...
Giovanni L. Sicuranza, Alberto Carini
DAM
2007
85views more  DAM 2007»
13 years 5 months ago
Testing primitivity on partial words
Primitive words, or strings over a finite alphabet that cannot be written as a power of another string, play an important role in numerous research areas including formal language...
Francine Blanchet-Sadri, Arundhati R. Anavekar
ICASSP
2009
IEEE
14 years 15 days ago
RLS-weighted Lasso for adaptive estimation of sparse signals
The batch least-absolute shrinkage and selection operator (Lasso) has well-documented merits for estimating sparse signals of interest emerging in various applications, where obse...
Daniele Angelosante, Georgios B. Giannakis