Active Noise Control using Deep Learning Methods
This thesis investigates the application of deep learning techniques to overcome the limitations of conventional ANC systems and proposes a novel Stacked Autoencoder (SAE)- based ANC framework, trained to estimate the optimal anti-noise signal required for noise cancellation.
Deepali Singh
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