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Innovation Starts With Education: ICASSP 2019 Education Panel SP Forum.

, , , , , and . IEEE Signal Process. Mag., 36 (5): 135-147 (2019)

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An on-line algorithm for blind source extraction based on nonlinear prediction approach., , and . NNSP, page 429-438. IEEE, (2003)Complex Properness Inspired Blind Adaptive Frequency-Dependent I/Q Imbalance Compensation for Wideband Direct-Conversion Receivers., , , , and . IEEE Trans. Wirel. Commun., 19 (9): 5982-5992 (2020)A class of novel blind source extraction algorithms based on a linear predictor., , and . ISCAS (4), page 3599-3602. IEEE, (2005)A Normalised Kurtosis Based Blind Source Extraction Algorithm for Noisy Mixtures., and . ICASSP (5), page 641-644. IEEE, (2006)A Transition Probability Based Classification Model for Enhanced N1 Sleep stage Identification During Automatic Sleep Stage Scoring., , and . EMBC, page 3641-3644. IEEE, (2019)Weight sharing for LMS algorithms: Convolutional neural networks inspired multichannel adaptive filtering., and . Digit. Signal Process., (2022)Nonlinear FIR adaptive filters with a gradient adaptive amplitude in the nonlinearity., and . IEEE Signal Process. Lett., 9 (8): 253-255 (2002)A universal framework for learning based on the elliptical mixture model (EMM)., , and . CoRR, (2018)A Data Analytics Perspective of Power Grid Analysis-Part 1: The Clarke and Related Transforms Lecture Notes., , , , , and . IEEE Signal Process. Mag., 36 (2): 110-116 (2019)Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold., , , and . AAAI, page 4658-4666. AAAI Press, (2020)