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The Scaled Reassigned Spectrogram with Perfect Localization for Estimation of Gaussian Functions

In English

Författare

Summary, in English

The reassignment technique is used to increase localization for signal components in the time-frequency representation. The technique gives perfect localization for infinite linear chirp-signals, impulses and constant frequency signals but not for short non-stationary signals. In this paper, a scaled reassignment is proposed, based on the spectrogram using a Gaussian window. The resulting reassignment gives perfect localization for a Gaussian function when the window length matches the function length. Based on the scaled reassignment, an algorithm that estimates the Gaussian function length is also proposed.

Avdelning/ar

Publiceringsår

2015

Språk

Engelska

Sidor

100-104

Publikation/Tidskrift/Serie

IEEE Signal Processing Letters

Volym

22

Issue

1

Dokumenttyp

Artikel i tidskrift

Förlag

IEEE - Institute of Electrical and Electronics Engineers Inc.

Ämne

  • Probability Theory and Statistics

Nyckelord

  • Gaussian
  • logon
  • reassignment
  • spectrogram
  • time-frequency

Status

Published

Forskningsgrupp

  • Statistical Signal Processing Group

ISBN/ISSN/Övrigt

  • ISSN: 1070-9908