Search
Abstract
The paper investigates the Bayesian framework's performance for a direct detection of spectrum parameters from the compressive measurements. The reconstruction signal stage is eliminated in by the Bayesian Compressive Sensing algorithm, which causes that the computational complexity and processing time are extremely reduced. The computational efficiency of the presented procedure is significantly better than a typical compressive sensing approach. The numerical simulations confirm the possibility of using this method to direct harmonics detection.
Citations
-
0
CrossRef
-
0
Web of Science
-
0
Scopus
Authors (2)
Cite as
Full text
download paper
downloaded 81 times
- Publication version
- Accepted or Published Version
- License
-
open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
Przegląd Elektrotechniczny
pages 90 - 93,
ISSN: 0033-2097 - Language:
- English
- Publication year:
- 2021
- Bibliographic description:
- Pałczyńska B., Świsulski D.: Direct spectrum detection based on Bayesian approach// Przegląd Elektrotechniczny -,iss. 5 (2021), s.90-93
- DOI:
- Digital Object Identifier (open in new tab) 10.15199/48.2021.05.15
- Verified by:
- Gdańsk University of Technology
seen 157 times
Recommended for you
Spectrum Sensing Based on Hybrid Spectrum Handoff in Cognitive Radio Networks
- L. Vaduganathan,
- S. Neware,
- P. Falkowski-Gilski
- + 1 authors
2023
Modern remote sensing and the challenges facing education systems in terms of its teaching
- B. Hejmanowska,
- W. Kamiński,
- M. Przyborski
- + 2 authors
2015