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OBJECTIVES This paper aims to propose an estimation procedure for the parameters of a generalized fractional process, a fairly general model of long-memory applicable in modeling biomedical signals whose autocorrelations exhibit hyperbolic decay. METHODS We derive a wavelet-based weighted least squares estimator of the long-memory parameter based on the(More)
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