This project explores the analysis and modeling of stochastic processes using Auto-Regressive (AR) models. Implemented in MATLAB, the project covers: Simulating and analyzing synthetic signals.
Abstract: Digital Signal Processing has become a fundamental tool in signal processing applications, such as speech and image processing, due to its ability to manipulate and examine signals in a ...
Abstract: Fetal electrocardiogram (FECG) extraction from maternal electrocardiogram (MECG) signals presents a major obstacle in biomedical signal processing. In this paper Fast Independent Subspace ...
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