Cargando…
Sparse Analyzer Tool for Biomedical Signals
The virtual (software) instrument with a statistical analyzer for testing algorithms for biomedical signals’ recovery in compressive sensing (CS) scenario is presented. Various CS reconstruction algorithms are implemented with the aim to be applicable for different types of biomedical signals and di...
Autores principales: | Vujović, Stefan, Draganić, Andjela, Lakičević Žarić, Maja, Orović, Irena, Daković, Miloš, Beko, Marko, Stanković, Srdjan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248901/ https://www.ncbi.nlm.nih.gov/pubmed/32370285 http://dx.doi.org/10.3390/s20092602 |
Ejemplares similares
-
On Consensus-Based Distributed Blind Calibration of Sensor Networks
por: Stanković, Miloš S., et al.
Publicado: (2018) -
Time-frequency signal analysis with applications
por: Stankovic, Ljubisa, et al.
Publicado: (2013) -
Distributed Spectrum Management in Cognitive Radio Networks by Consensus-Based Reinforcement Learning†
por: Dašić, Dejan, et al.
Publicado: (2021) -
Analyzing the GHSI puzzle of whether highly developed countries fared worse in COVID-19
por: Markovic, Sofija, et al.
Publicado: (2022) -
Biomedical Mutation Analysis (BMA): A software tool for analyzing mutations associated with antiviral resistance
por: Salvatierra, Karina, et al.
Publicado: (2016)