The Scaled Reassigned Spectrogram with Perfect Localization for Estimation of Gaussian Functions
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
- Matematisk statistik
- Statistical Signal Processing Group
- eSSENCE: The e-Science Collaboration
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