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CORR
2010
Springer
165views Education» more  CORR 2010»
13 years 7 months ago
Compressed Sensing for Sparse Underwater Channel Estimation: Some Practical Considerations
We examine the use of a structured thresholding algorithm for sparse underwater channel estimation using compressed sensing. This method shows some improvements over standard algo...
Sushil Subramanian
ICASSP
2011
IEEE
12 years 11 months ago
TLS-FOCUSS for sparse recovery with perturbed dictionary
In this paper, we propose a new algorithm, TLS-FOCUSS, for sparse recovery for large underdetermined linear systems, based on total least square (TLS) method and FOCUSS(FOCal Unde...
Xuebing Han, Hao Zhang, Huadong Meng
ICCV
2005
IEEE
14 years 9 months ago
Is Levenberg-Marquardt the Most Efficient Optimization Algorithm for Implementing Bundle Adjustment?
In order to obtain optimal 3D structure and viewing parameter estimates, bundle adjustment is often used as the last step of feature-based structure and motion estimation algorith...
Manolis I. A. Lourakis, Antonis A. Argyros
MICCAI
2009
Springer
14 years 8 months ago
Automatic Correction of Intensity Nonuniformity from Sparseness of Gradient Distribution in Medical Images
We propose to use the sparseness property of the gradient probability distribution to estimate the intensity nonuniformity in medical images, resulting in two novel automatic metho...
Yuanjie Zheng, Murray Grossman, Suyash P. Awate,...
CVPR
2008
IEEE
14 years 9 months ago
An efficient algorithm for compressed MR imaging using total variation and wavelets
Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a...
Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty