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ANALYSIS OF MFCC FEATURES FOR EEG SIGNAL CLASSIFICATION
Author(s) -
Gnana Rajesh D
Publication year - 2016
Publication title -
international journal of advances in signal and image sciences
Language(s) - English
Resource type - Journals
ISSN - 2457-0370
DOI - 10.29284/ijasis.2.2.2016.14-20
Subject(s) - mel frequency cepstrum , pattern recognition (psychology) , computer science , artificial intelligence , electroencephalography , feature (linguistics) , speech recognition , context (archaeology) , signal (programming language) , artificial neural network , representation (politics) , feature extraction , psychology , neuroscience , paleontology , linguistics , philosophy , politics , political science , law , biology , programming language

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