Disturbance Rejection with Rakeness-based Compressed Sensing: Method and Application to Baseline/Powerline Mitigation in ECGs

Alex Marchioni, Mauro Mangia, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Fingerprint

Dive into the research topics of 'Disturbance Rejection with Rakeness-based Compressed Sensing: Method and Application to Baseline/Powerline Mitigation in ECGs'. Together they form a unique fingerprint.

Engineering

Computer Science

Keyphrases