Optimal Data Acquisition Methods for Single-Pixel Imaging
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Russian Laser Research"
DOI: 10.1007/s10946-018-9744-y
Abstract: Single-pixel imaging is an image reconstruction technique, which uses spatially modulated illumination of an object and a single-pixel detector collecting the light scattered by the object. This technique is complementary to the conventional imaging based… read more here.
Keywords: pixel imaging; optimal data; data acquisition; single pixel ... See more keywords
An Optimal Data Gathering Method for Mobile Sinks in WSNs
Sign Up to like & getrecommendations! Published in 2017 at "Wireless Personal Communications"
DOI: 10.1007/s11277-017-4579-3
Abstract: In Wireless Sensor Networks (WSN), energy is one of the most important resources since each node collects, processes and transmits data to its base station. Most of the traditional works in WSNs are consisted of… read more here.
Keywords: optimal data; data gathering; sensor networks; sensor ... See more keywords
Multi-sensor Optimal Data Fusion for INS/GNSS/CNS Integration Based on Unscented Kalman Filter
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Control, Automation and Systems"
DOI: 10.1007/s12555-016-0801-4
Abstract: This paper presents an unscented Kalman filter (UKF) based multi-sensor optimal data fusion methodology for INS/GNSS/CNS (inertial navigation system/global navigation satellite system/celestial navigation system) integration based on nonlinear system model. This methodology is of two-level… read more here.
Keywords: data fusion; gnss cns; methodology; optimal data ... See more keywords
An Optimal Data Fusion Algorithm in the Presence of Unknown Cross Covariances
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2019.2925500
Abstract: This paper presents an optimal data fusion formulation and algorithm in the sense of minimum mean-square error when some or all cross covariances are unknown. This algorithm is generic in that it is capable of… read more here.
Keywords: data fusion; optimal data; unknown cross; cross ... See more keywords
Distributed Learning Algorithms for Optimal Data Routing in IoT Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Signal and Information Processing over Networks"
DOI: 10.1109/tsipn.2020.2975369
Abstract: We consider the problem of joint lossy data compression and data routing in distributed Internet of Things (IoT). Heterogeneous sources compress their data using a source-specific lossy compression scheme, where heterogeneity is meant in terms… read more here.
Keywords: networks distributed; distributed learning; optimal data; algorithms optimal ... See more keywords