HIGHLIGHTS
- who: S. Z. Mohd Tumari and collaborators from the INFOCOMM Research Alliances, Faculty of Electrical, Universiti Teknologi Malaysia, Johor Bahru, Malaysia have published the research: Selection of a Suitable Wavelet for Cognitive Memory Using Electroencephalograph Signal, in the Journal: (JOURNAL)
- what: The aim of this study is to recognize the best and suitable wavelet family for analyzing cognitive memory using Electroencephalograph (EEG) signal. In this study, since the reconstruction criterion was evaluated using a coefficient number that had to be more than two, the Haar wavelet was excluded from the list.
- how: Indicated . . .
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