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Estimation and Deconvolution of Second Order Cyclostationary Signals
March 1, 2024, 5:43 a.m. | Igor Makienko, Michael Grebshtein, Eli Gildish
cs.LG updates on arXiv.org arxiv.org
Abstract: 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 Function (TF) en route to a sensor. We have proven that the deconvolution filter exists and eliminates the TF effect from signals whose statistics vary over time. This method is blind, meaning it does not require prior knowledge about the signals or TF. Simulations demonstrate the algorithm high precision across …
abstract arxiv blind cs.lg eess.sp filter function route sensor transfer type
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