Optimal distributed kalman and lainiotis filters: Optimal uniform distribution of measurements into local processors
Ημερομηνία
2009Λέξη-κλειδί
Επιτομή
A method to implement the optimal distributed Kalman and Lainiotis filters is proposed. The method is based on the a-priori determination of the optimal uniform distribution of the measurements into parallel processors, in the sense of minimizing the computation time. The resulting optimal Kalman and Lainiotis filters present high parallelism speedup. This result is very important due to the fact that, in most real-time applications, it is essential to obtain the estimate in the shortest possible time. ©2009 IEEE.
Collections
Related items
Showing items related by title, author, creator and subject.
-
Spatial and temporal distribution of p,p′-DDE (1‑dichloro‑2,2‑bis (p‑chlorophenyl) ethylene) blood levels across the globe. A systematic review and meta-analysis
(2019)Background: Although p,p′‑DDT (1,1,1‑trichloro-2,2‑bis (p‑chlorophenyl)‑ethane) has been banned for decades in most countries, its major metabolite p,p′-DDE (1‑dichloro‑2,2‑bis (p‑chlorophenyl) ethylene) is still detected ... -
Patient Age, Sex, and Inflammatory Bowel Disease Phenotype Associate With Course of Primary Sclerosing Cholangitis
(2017)Background & Aims Primary sclerosing cholangitis (PSC) is an orphan hepatobiliary disorder associated with inflammatory bowel disease (IBD). We aimed to estimate the risk of disease progression based on distinct clinical ... -
The d-hop k-data coverage query problem in wireless sensor networks
(2008)The task of querying wireless sensor network (WSN) to retrieve data of interest is very significant and a wealth of query types have been proposed in the context of WSNs. This article describes the d-hop k-data coverage ...