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Data-Driven Deep Learning Based Feedback Linearization of Systems with Unknown Dynamics
A methodology is developed to learn a feedback linearization (i. e., nonlinear change of coordinates and input transformation) using a data-driven approach for a single input control-affine nonlinear system with unknown dynamics.
Phase Aware Speech Enhancement using Realisation of Complex-valued LSTM
Most of the deep learning based speech enhancement (SE) methods rely on estimating the magnitude spectrum of the clean speech signal from the observed noisy speech signal, either by magnitude spectral masking or regression.
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