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Soft Computing and Machine Learning: EEG Signal Processing Perspectives
by Mitul K. Ahirwal



>>>DOWNLOAD BOOK Soft Computing and Machine Learning: EEG Signal Processing Perspectives



This book is a collection of interdisciplinary paradigms related to two important research fields, biomedical signal processing, especially related to EEG signal processing and machine learning/soft computing. Applications of these computer science topics to EEG signal processing is growing in importance in terms of health care systems applications.This is particularly relevant to the rapidly expanding field of Brain-Computer Interfacing.







Soft Computing and Machine Learning: EEG Signal Processing Perspectives Mitul K. Ahirwal
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6Yaochen Li, Yuanqi Su, Yuehu Liu, Fast two-cycle curve evolution with narrow perception of background for object tracking and contour refinement, Signal Processing: Image Communication, 2016, 44, 29CrossRef
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