A new 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

Firstpage

46

Lastpage

49

Abstract

This paper mainly focuses at estimating the power spectral density of a wide sense stationary random signal with available low resolution samples. A modified maximum entropy inference engine algorithm for power spectral estimation of the random signal is proposed in this paper. The approach is also corroborated with simulation results to prove the efficacy of the proposed method.

Keywords

maximum entropy methods; signal processing; spectral analysis; maximum entropy interference engine algorithm; multirate observations; power spectral density; power spectral estimation; resolution samples; wide sense stationary random signal; Autoregressive processes; Educational institutions; Engines; Entropy; Filter bank; Power engineering and energy; Random processes; Signal processing; Signal resolution; Spectral analysis; autocorrelation coefficient; maximum entropy inference engine; power spectral density; spectral estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Anti-counterfeiting, Security, and Identification in Communication, 2009. ASID 2009. 3rd International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-3883-9

Electronic_ISBN

978-1-4244-3884-6

Type

conf

DOI

10.1109/ICASID.2009.5277028

Filename

5277028