Reconstruction of event-based sampled signal using adaptive weights method

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.