Massively parallel non-stationary EEG data processing on GPGPU platforms with Morlet continuous wavelet transform

Abstract

Morlet continuous wavelet transform (MCWT) has been widely used to process non-stationary electro-encephalogram (EEG) data. Nowadays, the MCWT application for processing EEG data is time-sensitive and data-intensive due to quickly increasing problem domain sizes and advancing experimental techniques. In this paper, we proposed a massively parallel MCWT… (More)
DOI: 10.1007/s13174-012-0071-1

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