DocumentCode
2529639
Title
A Robust Technique for Power Spectrum Estimation Using Multirate Observations
Author
Sreelatha, M. ; Kumar, T. Anil ; Mathur, Shamla
Author_Institution
Electron. & Instrum. Eng. Dept., Kakatiya Inst. of Technol. & Sci., Warangal, India
fYear
2009
fDate
3-5 April 2009
Firstpage
239
Lastpage
243
Abstract
The main focus of this paper is to estimate the power spectral density of a wide sense stationary random signal with available low resolution samples. A modified maximum entropy inference engine algorithm for estimating the power spectral density of the random signal is proposed in this paper. The approach is corroborated with simulation results to illustrate the efficacy of the proposed method.
Keywords
maximum entropy methods; spectral analysis; statistical analysis; maximum entropy inference engine algorithm; power spectral density; power spectrum estimation; wide sense stationary random signal; Computer networks; Electronic mail; Ethernet networks; Predictive models; Quality of service; Robustness; Signal processing; Spectral analysis; Telecommunication traffic; Traffic control; autocorrelation coefficient; maximum entropy inference engine; power spectral density; spectral estimation.;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Acquisition and Processing, 2009. ICSAP 2009. International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-0-7695-3594-4
Type
conf
DOI
10.1109/ICSAP.2009.54
Filename
5163863
Link To Document