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ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
14 years 4 months ago
Decentralized localization for dynamic and sparse robot networks
Abstract— Finite-range sensing and communication are factors in the connectivity of a dynamic mobile robot network. State estimation becomes a difficult problem when communicati...
Keith Yu Kit Leung, Timothy D. Barfoot, Hugh H. T....
EJASP
2010
234views more  EJASP 2010»
13 years 5 months ago
Iterative Sparse Channel Estimation and Decoding for Underwater MIMO-OFDM
In this paper we propose a block-by-block iterative receiver for underwater MIMO-OFDM that couples channel estimation with MIMO detection and channel decoding. In particular, the c...
Jie Huang, Jianzhong Huang, Christian R. Berger, S...
SIAMSC
2010
215views more  SIAMSC 2010»
13 years 8 months ago
A Fast Algorithm for Sparse Reconstruction Based on Shrinkage, Subspace Optimization, and Continuation
We propose a fast algorithm for solving the ℓ1-regularized minimization problem minx∈Rn µ x 1 + Ax − b 2 2 for recovering sparse solutions to an undetermined system of linea...
Zaiwen Wen, Wotao Yin, Donald Goldfarb, Yin Zhang
SIAMIS
2011
13 years 5 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
CORR
2008
Springer
98views Education» more  CORR 2008»
13 years 10 months ago
Sparse Recovery by Non-convex Optimization -- Instance Optimality
In this note, we address the theoretical properties of p, a class of compressed sensing decoders that rely on p minimization with p (0, 1) to recover estimates of sparse and compr...
Rayan Saab, Özgür Yilmaz