Abstract:We propose a new class of transforms that we call Lehmer Transform which is motivated by the Lehmer mean function. The proposed Lehmer transform decomposes a function of a sample into their constituting statistical moments. Theoretical properties of the proposed transform are presented. This transform could be very useful to provide an alternative method in analyzing non-stationary signals such as brain wave EEG.
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