Compressive Wideband Power Spectrum Analysis for Eeg Signals Using Fastica And Neural Network

Abstract

In several applications, such as wideband spectrum sensing for cognitive radio, only the power spectrum (a.k.a. the power spectral density) is of interest and there is no need to recover the original signal itself. In addition, high-rate analog-to-digital converters (ADCs) are too power hungry for direct wideband spectrum sensing. These two facts have… (More)

Topics

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