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CORR
2011
Springer
183views Education» more  CORR 2011»
15 years 1 months ago
Reconstruction of Binary Functions and Shapes from Incomplete Frequency Information
The characterization of a binary function by partial frequency information is considered. We show that it is possible to reconstruct the binary signal from incomplete frequency me...
Yu Mao
ICASSP
2011
IEEE
14 years 10 months ago
Entropy estimation using the principle of maximum entropy
In this paper, we present a novel entropy estimator for a given set of samples drawn from an unknown probability density function (PDF). Counter to other entropy estimators, the e...
Behrouz Behmardi, Raviv Raich, Alfred O. Hero
ICASSP
2011
IEEE
14 years 10 months ago
Additive character sequences with small alphabets for compressed sensing matrices
Compressed sensing is a novel technique where one can recover sparse signals from the undersampled measurements. In this paper, a K × N measurement matrix for compressed sensing ...
Nam Yul Yu
ICASSP
2011
IEEE
14 years 10 months ago
Dictionary learning of convolved signals
Assuming that a set of source signals is sparsely representable in a given dictionary, we show how their sparse recovery fails whenever we can only measure a convolved observation...
Daniele Barchiesi, Mark D. Plumbley
ICASSP
2011
IEEE
14 years 10 months ago
Sparse video recovery using Linearly Constrained Gradient Projection
This paper concerns the reconstruction of a temporally-varying scene from a video sequence of noisy linear projections. Assuming that each video frame is sparse or compressible in...
Daniel Thompson, Zachary T. Harmany, Roummel F. Ma...