Efficient Thomson Spectral Estimator with Time-shifted Windows

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Abstract

In this paper optimal spectral analysis window shapes, using weighted discrete prolate spheroidal sequences as basis functions, are proposed. These windows are not typically positive or even. The windows are time-shifted, combining the computational efficiency of the Welch method and the appealing property of predefined frequency resolution of the Thomson spectral estimator. The parameters of the optimal windows are found by minimising the resulting spectral covariances and optimising the window overlap, for the predetermined frequency resolution and number of windows. The windows are found to have low side lobes, giving small spectral leakage, and the final spectral estimate gives close to optimal variance reduction, i.e. the covariance between different sub-spectra is very small.

Detaljer

Författare
Enheter & grupper
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Signalbehandling
  • Sannolikhetsteori och statistik

Nyckelord

Originalspråkengelska
Titel på värdpublikation2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
FörlagInstitute of Electrical and Electronics Engineers Inc.
Sidor4983-4987
Antal sidor5
Volym2019-May
ISBN (elektroniskt)9781479981311
StatusPublished - 2019 maj
PublikationskategoriForskning
Peer review utfördJa
Evenemang44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, Storbritannien
Varaktighet: 2019 maj 122019 maj 17

Konferens

Konferens44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
LandStorbritannien
OrtBrighton
Period2019/05/122019/05/17