Title :
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
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;
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
DOI :
10.1109/ICASID.2009.5277028
