This paper summarizes the results obtained by Daniel G. Tiglea during the period he was working to obtain the M.S. Degree.
Research
New paper: An Adaptive Sampling Technique for Graph Diffusion LMS Algorithm
Conference paper presented on the 27th European Signal Processing Conference (EUSIPCO) in which we propose an adaptive sampling method for the diffusion algorithm for adaptively learning from streaming graphs signals.
New paper: Equalization in chaos-based communication systems using kernel adaptive filtering
As an extension to the paper presented at SPS 2017 (in portuguese), we present a study on the use of kernel adaptive filters for channel equalization in a chaos-based communication system.