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Abstract
This article reveals that two previously established tests for autocovariance equality between stationary autoregressive moving average (ARMA) processes can also be used to discriminate between harmonic signals embedded in noise without the need for any reconstruction or modeling. A third test is also introduced and used for the same purpose. An application involving functional magnetic resonance imaging (fMRI) as well as an extension involving a generalized linear chirp (GLC) process are presented at the end.
Acknowledgment
The authors would like to give special thanks to G. Andrew James, Ph.D., from the University of Arkansas for Medical Sciences (UAMS) for sharing his knowledge and insight on fMRI studies involving tactile sensation.