340 search results - page 21 / 68 » SLAM with Sparse Sensing |
ICASSP
2011
IEEE
13 years 24 days ago
2011
IEEE
—In this paper we investigate the local probability density function (pdf) of natural signals in sparse domains. The statistical properties of natural signals are characterized m...
CORR
2010
Springer
13 years 9 months ago
2010
Springer
This paper introduces a simple and very general theory of compressive sensing. In this theory, the sensing mechanism simply selects sensing vectors independently at random from a ...
ICASSP
2011
IEEE
13 years 24 days ago
2011
IEEE
Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals that enables sampling rates significantly below the classical Nyquist rate. Based on...
INFOCOM
2010
IEEE
13 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
2008
IEEE
14 years 3 months ago
2008
IEEE
The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles ...