3 papers
cs.LG2026
Dilated CNNs for Periodic Signal Processing: A Low-Complexity Approach
Eli Gildish, Michael Grebshtein, Igor Makienko
Denoising of periodic signals and accurate waveform estimation are core tasks across many signal processing domains, including speech, music, medical diagnostics, radio, and sonar.…
cs.LG2024
Blind Separation of Vibration Sources using Deep Learning and Deconvolution
Igor Makienko, Michael Grebshtein, Eli Gildish
Vibrations of rotating machinery primarily originate from two sources, both of which are distorted by the machine's transfer function on their way to the sensor: the dominant gear-…
cs.LG2024
Estimation and Deconvolution of Second Order Cyclostationary Signals
Igor Makienko, Michael Grebshtein, Eli Gildish
This method solves the dual problem of blind deconvolution and estimation of the time waveform of noisy second-order cyclo-stationary (CS2) signals that traverse a Transfer Functio…