EVALUATION OF MAXIMUM ENTROPY METHOD OF SPECTRUM ESTIMATION

  • Jawahar A Department of EEE, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, India.
  • Murali Krishna P Department Electrical Engineer, National Operation and Maintenance Company Limited, Jeddah, Saudi Arabia.
  • Kiran Ss Department of ECE, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, India.

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.

References

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How to Cite
A, J., P, M. K., & Ss, K. (2018). EVALUATION OF MAXIMUM ENTROPY METHOD OF SPECTRUM ESTIMATION. Innovare Journal of Engineering & Technology, 6(1), 10-14. Retrieved from https://innovareacademics.in/journals/index.php/ijet/article/view/16039
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Review Article(s)