Cargando…
Conservative Quantization of Covariance Matrices with Applications to Decentralized Information Fusion †
Information fusion in networked systems poses challenges with respect to both theory and implementation. Limited available bandwidth can become a bottleneck when high-dimensional estimates and associated error covariance matrices need to be transmitted. Compression of estimates and covariance matric...
Autores principales: | Funk, Christopher, Noack, Benjamin, Hanebeck, Uwe D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125543/ https://www.ncbi.nlm.nih.gov/pubmed/33924751 http://dx.doi.org/10.3390/s21093059 |
Ejemplares similares
-
Covariant quantization of supergravity
por: de Wit, Bernard, et al.
Publicado: (1978) -
Covariant quantization of supergravity
por: van Nieuwenhuizen, P
Publicado: (1978) -
Optimally Distributed Kalman Filtering with Data-Driven Communication †
por: Dormann, Katharina, et al.
Publicado: (2018) -
On Information Rank Deficiency in Phenotypic Covariance Matrices
por: O’Keefe, F Robin, et al.
Publicado: (2021) -
New covariantly quantizable action for superparticle
por: Kallosh, Renata E
Publicado: (1991)