Restoration of multi-channel spectral estimation affected by sampling jitters

Sampling jitters can cause phase shifts in the Fourier coefficients of an underlying time series and lead to, among other distortions, attenuation in spectral estimation. If the probability density function of sampling jitters is known, then the attenuation can be modeled as an amplitude modulation...

Full description

Saved in:
Bibliographic Details
Published in2007 IEEE 33rd Annual Northeast Bioengineering Conference pp. 128 - 129
Main Authors Taikang Ning, Bhandari, S., Atanasov, N.A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2007
Subjects
Attenuation
Biosensors
Demodulation
Educational institutions
Fourier transforms
Jitter
Phase estimation
Sampling methods
Sensor arrays
Statistics
Online AccessGet full text

Cover

More Information
Summary:Sampling jitters can cause phase shifts in the Fourier coefficients of an underlying time series and lead to, among other distortions, attenuation in spectral estimation. If the probability density function of sampling jitters is known, then the attenuation can be modeled as an amplitude modulation in the frequency domain. This paper examines the possible effects of random sampling jitters on multi-channel power spectral estimation and discusses a restoration procedure to remove these effects, simulation tests were conducted to illustrate the effects due to sampling jitters and to demonstrate the effectiveness of the restoration procedure.
ISBN:1424410320
9781424410323
ISSN:2160-6986
2160-7028
DOI:10.1109/NEBC.2007.4413312