172 search results - page 27 / 35 » Support Recovery of Sparse Signals |
INFOCOM
2010
IEEE
14 years 7 months ago
2010
IEEE
Abstract— The sparse nature of location finding problem makes the theory of compressive sensing desirable for indoor positioning in Wireless Local Area Networks (WLANs). In this...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper presents a novel spatial texture prediction method based on non-negative matrix factorization. As an extension of template matching, approximation based iterative textu...
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
CORR
2011
Springer
14 years 1 months ago
2011
Springer
In this paper, we propose an efficient acquisition scheme for GPS receivers. It is shown that GPS signals can be effectively sampled and detected using a bank of randomized corre...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
In the theory of compressed sensing, restricted isometry analysis has become a standard tool for studying how efficiently a measurement matrix acquires information about sparse an...