Open AccessResolving the Issues of Capon and APES Approach for Projecting Enhanced Spectral Estimation
Author(s) -
MVV Prasad Kantipudi,
H. N. Suresh
Publication year - 2016
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v6i2.pp725-734
Subject(s) - capon , spectral density , computer science , signal (programming language) , spectral analysis , estimation , signal processing , simple (philosophy) , spectral density estimation , artificial intelligence , algorithm , econometrics , machine learning , mathematics , telecommunications , physics , economics , beamforming , mathematical analysis , philosophy , management , epistemology , quantum mechanics , fourier transform , spectroscopy , programming language , radar
There are various applications on signal processing that is highly dependent on preciseness and accuracy of the outcomes in spectrum of signals. Hence, from the past two decades the research community has recognized the benefits, significance, as well as associated problems in carrying out a model for spectral estimation. While in-depth investigation of the existing literatures shows that there are various attempts by the researchers to solve the issues associated with spectral estimations, where majority of teh research work is inclined towards addressing problems associated with Capon and APES techniques of spectral analysis. Therefore, this paper introduces a very simple technique towards resolving the issues of Capon and APES techniques. The outcome of the study was analyzed using correlational factor and power spectral density to find the proposed system offers better spectral estimations compared to existing system.