EVALUATION OF MAXIMUM ENTROPY METHOD OF SPECTRUM ESTIMATION


Jawahar A, Murali Krishna P, Kiran Ss

Abstract


The parametric models autoregressive (AR)/AR-moving average (MA)/MA are sometimes not capable of finding out the power spectral densities of random sequences. Under such circumstances, the non-parametric methods outperform the parametric ones because of the sensitivity of the latter to model specifications. The maximum entropy method (MEM) is regarded as the non-parametric method of spectrum estimation; it suggests one possible way of extrapolating the autocorrelation sequence so that a more accurate estimate of the spectrum can be obtained with better resolution. This paper investigates the work of realizing MEM method and evaluating its performance with minimum variance method.


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About this article

Title

EVALUATION OF MAXIMUM ENTROPY METHOD OF SPECTRUM ESTIMATION

Date

01-07-2018

Additional Links

Manuscript Submission

Journal

Innovare Journal of Engineering & Technology
Vol 6 Issue 1, 2018 (Jan-June) Page: 10-14

Online ISSN

2347-1573

Authors & Affiliations

Jawahar A
Department of EEE, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, India.
India

Murali Krishna P
Department Electrical Engineer, National Operation and Maintenance Company Limited, Jeddah, Saudi Arabia.
Saudi Arabia

Kiran Ss
Department of ECE, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, India.
India


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