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TSP
2010
13 years 3 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
TCSV
2002
151views more  TCSV 2002»
13 years 8 months ago
Object-based video coding by global-to-local motion segmentation
Abstract--In this paper, we describe an object-based video compression scheme based on the derivation and efficient coding of motion boundaries. First, we recursively identify a sm...
Ahsan Shamim, John A. Robinson
SPEECH
2011
13 years 3 months ago
A multistage approach to blind separation of convolutive speech mixtures
We propose a novel algorithm for the separation of convolutive speech mixtures using two-microphone recordings, based on the combination of independent component analysis (ICA) an...
Tariqullah Jan, Wenwu Wang, DeLiang Wang
ICASSP
2010
IEEE
13 years 3 months ago
Modified hierarchical clustering for sparse component analysis
The under-determined blind source separation (BSS) problem is usually solved using the sparse component analysis (SCA) technique. In SCA, the BSS is usually solved in two steps, w...
Nasser Mourad, James P. Reilly
TVCG
2008
103views more  TVCG 2008»
13 years 8 months ago
Perceptually Guided Polygon Reduction
The properties of the human visual system are taken into account, along with the geometric aspects of an object, in a new surface remeshing algorithm and a new mesh simplification ...
Lijun Qu, Gary W. Meyer