Title :
Reconstruction of event-based sampled signal using adaptive weights method
Author_Institution :
Faculty of Applied Mathematics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, Poland
fDate :
6/1/2015 12:00:00 AM
Abstract :
The paper focuses on the event-driven signal processing and the application of irregular sampling theory and frames to the problems of the event-driven sampling and signal reconstruction. Our approach consists of the application of the frame algorithm enhanced with adaptive weights method to the reconstruction of the signal from the irregular samples obtained by the send-on-delta sampling scheme. We analyse the examples of signal recovery and set some perspectives for the further development.
Keywords :
"Image reconstruction","Signal processing algorithms","Signal processing","Approximation methods","Algorithm design and analysis","Wireless sensor networks"
Conference_Titel :
Event-based Control, Communication, and Signal Processing (EBCCSP), 2015 International Conference on
DOI :
10.1109/EBCCSP.2015.7300695
