Multitaper spectral estimator based on a cost minimization approach

Bo Yan, Haifen Yang, Liang Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A multitaper spectral analysis approach is built based on the minimization of cost function. The performance analysis indicates that this approach has comparative bias and variance as the approach of discrete prolate spheroidal sequence estimator. Compared with the DPSS, instead of solving the problem of matrix eigenvalues, the multitaper here needs less calculation with analytical expression of tapers. The validity of the estimator is verified by the computer simulation of an AR progress discrete as well as a white noise sequence.

Original languageEnglish
Title of host publicationSeventh International Conference on Digital Image Processing, ICDIP 2015
EditorsCharles M. Falco, Xudong Jiang
PublisherSPIE
ISBN (Electronic)9781628418293
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event7th International Conference on Digital Image Processing, ICDIP 2015 - Los Angeles, United States
Duration: 9 Apr 201510 Apr 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9631
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference7th International Conference on Digital Image Processing, ICDIP 2015
Country/TerritoryUnited States
CityLos Angeles
Period9/04/1510/04/15

Keywords

  • AR progress
  • Discrete prolate spheroidal sequence
  • Multitaper
  • Spectral leakage
  • Weighted overlapped segment averaging

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