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CORR
2010
Springer
172views Education» more  CORR 2010»
13 years 4 months ago
The MUSIC Algorithm for Sparse Objects: A Compressed Sensing Analysis
The MUSIC algorithm, and its extension for imaging sparse extended objects, with noisy data is analyzed by compressed sensing (CS) techniques. A thresholding rule is developed to a...
Albert Fannjiang
TSP
2010
12 years 11 months ago
Sparse channel estimation for multicarrier underwater acoustic communication: from subspace methods to compressed sensing
Abstract--In this paper, we investigate various channel estimators that exploit channel sparsity in the time and/or Doppler domain for a multicarrier underwater acoustic system. We...
Christian R. Berger, Shengli Zhou, James C. Preisi...
ICMCS
2010
IEEE
139views Multimedia» more  ICMCS 2010»
13 years 5 months ago
LyDAR: A LYrics Density based Approach to non-homogeneous music Resizing
In many scenarios, such as TV/radio advertising production, animation production, and presentation, music pieces are constrained in the metric of time. For example, an editor want...
Zhang Liu, Chaokun Wang, Lu Guo, Yiyuan Bai, Jianm...
CORR
2010
Springer
93views Education» more  CORR 2010»
13 years 4 months ago
Rank Awareness in Joint Sparse Recovery
In this paper we revisit the sparse multiple measurement vector (MMV) problem, where the aim is to recover a set of jointly sparse multichannel vectors from incomplete measurement...
Mike E. Davies, Yonina C. Eldar
ICIP
2009
IEEE
14 years 5 months ago
On The Empirical Rate-distortion Performance Of Compressive Sensing
Compressive Sensing (CS) is a new paradigm in signal acquisition and compression. In compressive sensing, a compressible signal is acquired using much less measurements than the o...