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Cyclic System Reconfiguration and Time-Split Signal Separation With Applications to Lung Sound Pattern Analysis

This paper presents a new technique for noise cancellation and signal separation, which is capable of identifying channel dynamics in real time, removing noise effectively, and separating source signals by reconfiguring signal transmission channels during different phases of source signals. This method is motivated by extracting authentic heart and lung sounds for anesthesia diagnosis when auscultated sounds contain interference and noise corruption, but has broader applications as long as the source signals nonsynchronously go through existence and almost nonexistence stages cyclicly