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pro vyhledávání: '"Maja Lakičević Žarić"'
Autor:
Stefan Vujović, Andjela Draganić, Maja Lakičević Žarić, Irena Orović, Miloš Daković, Marko Beko, Srdjan Stanković
Publikováno v:
Sensors, Vol 20, Iss 9, p 2602 (2020)
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 applica
Externí odkaz:
https://doaj.org/article/6592e4f295cb4424b5221b0c76e34c68
Publikováno v:
Journal of Signal Processing Systems.
Publikováno v:
Microprocessors and Microsystems. 62:72-78
The paper proposes an analog hardware solution for the implementation of two-dimensional gradient-based algorithm. The algorithm employs the discrete cosine transform and performs missing samples reconstruction by using the compressive sensing princi
Autor:
Maja Lakičević Žarić, Stefan Vujovic, Srdjan Stankovic, Andjela Draganic, Irena Orovic, Milos Dakovic, Marko Beko
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 2602, p 2602 (2020)
Sensors
Volume 20
Issue 9
Sensors, Vol 20, Iss 2602, p 2602 (2020)
Sensors
Volume 20
Issue 9
The virtual (software) instrument with a statistical analyzer for testing algorithms for biomedical signals&rsquo
recovery in compressive sensing (CS) scenario is presented. Various CS reconstruction algorithms are implemented with the aim to be
recovery in compressive sensing (CS) scenario is presented. Various CS reconstruction algorithms are implemented with the aim to be