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

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Author

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.

Department/s

Publishing year

2015

Language

English

Pages

100-104

Publication/Series

IEEE Signal Processing Letters

Volume

22

Issue

1

Document type

Journal article

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Probability Theory and Statistics

Keywords

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

Status

Published

Research group

  • Statistical Signal Processing Group

ISBN/ISSN/Other

  • ISSN: 1070-9908