Title :
Harmonic long-memory models
Author :
Kogon, Stephen M. ; Manolakis, Dimitris G.
Author_Institution :
Digital Signal Proc. Lab., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
In this paper we address the modeling of long-memory signals with strong harmonic components. Current long-memory models, such as the fractional unit-pole model, fail to address the possibility of periodicities in the data. An example of harmonic long-memory signals is found in heart rate variability signals. We propose the harmonic fractional unit-pole model for modeling both the long-memory and harmonic components. The model is obtained by moving the fractional order pole on the unit circle away from zero frequency in a complex conjugate pair. The characteristics of the model, namely the power spectral density and the autocorrelation function are derived. A method is then given for the generation of harmonic long-memory signals. Finally the harmonic fractional unit-pole model is used to characterize heart rate variability signals
Keywords :
cardiology; harmonic analysis; medical signal processing; autocorrelation function; harmonic fractional unit-pole model; heart rate variability; long-memory signal; power spectral density; Autocorrelation; Autoregressive processes; Digital signal processing; Frequency; Heart rate variability; Laboratories; Poles and zeros; Signal generators; Signal processing; Space technology;
Conference_Titel :
Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3073-0
DOI :
10.1109/ISCAS.1996.541756