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» Localization from Incomplete Noisy Distance Measurements
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GLOBECOM
2009
IEEE
14 years 2 months ago
Multiple Target Localization Using Compressive Sensing
Abstract— In this paper, a novel multiple target localization approach is proposed by exploiting the compressive sensing theory, which indicates that sparse or compressible signa...
Chen Feng, Shahrokh Valaee, Zhenhui Tan
AUTOMATICA
2010
94views more  AUTOMATICA 2010»
13 years 7 months ago
Optimality analysis of sensor-target localization geometries
The problem of target localization involves estimating the position of a target from multiple and typically noisy measurements of the target position. It is well known that the re...
Adrian N. Bishop, Baris Fidan, Brian D. O. Anderso...
ICASSP
2008
IEEE
14 years 2 months ago
Stable sparse approximations via nonconvex optimization
We present theoretical results pertaining to the ability of ℓp minimization to recover sparse and compressible signals from incomplete and noisy measurements. In particular, we ...
Rayan Saab, Rick Chartrand, Özgür Yilmaz
ALT
1994
Springer
13 years 11 months ago
Program Synthesis in the Presence of Infinite Number of Inaccuracies
Most studies modeling inaccurate data in Gold style learning consider cases in which the number of inaccuracies is finite. The present paper argues that this approach is not reaso...
Sanjay Jain
CVPR
1999
IEEE
14 years 9 months ago
Generic Object Detection using Model Based Segmentation
This paper presents a novel approach for detection and segmentation of generic shapes in cluttered images. The underlying assumption is that generic objects that are man made, fre...
Zhiqian Wang, Jezekiel Ben-Arie