Restoration of multi-channel spectral estimation affected by sampling jitters

Author

Ning, Taikang ; Bhandari, Sagar ; Atanasov, Nikolay A.

Author_Institution

Trinity Coll., Hartford

fYear

2007

fDate

10-11 March 2007

Firstpage

128

Lastpage

129

Abstract

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.

Keywords

Fourier analysis; amplitude modulation; channel estimation; frequency-domain analysis; jitter; probability; sampling methods; time series; Fourier coefficients; amplitude modulation; frequency domain; multichannel power spectral estimation; probability density function; random sampling jitters; restoration procedure; time series; Attenuation; Biosensors; Demodulation; Educational institutions; Fourier transforms; Jitter; Phase estimation; Sampling methods; Sensor arrays; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioengineering Conference, 2007. NEBC '07. IEEE 33rd Annual Northeast

Conference_Location

Long Island, NY

Print_ISBN

978-1-4244-1033-0

Electronic_ISBN

978-1-4244-1033-0

Type

conf

DOI

10.1109/NEBC.2007.4413312

Filename

4413312