Parameter estimation of Oscillating Gaussian functions using the scaled reassigned spectrogram

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift


In this paper we suggest an algorithm for estimation of the parameters detailing Oscillating Gaussian functions. The different components of the signal are first detected in the spectrogram. After this we exploit the fact that a Gaussian function may be perfectly reassigned into one single point given a correct scaling factor, where this scaling factor is a function of the unknown shape parameter of the Gaussian function. The scaled reassignment of the spectrogram is performed using a set of candidate scaling factors and the local Renyi entropy is used to measure the concentration of each component using every candidate scaling factor. The estimates are refined by using non-linear least squares. The algorithm is evaluated on both simulated and real data.


Enheter & grupper

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Sannolikhetsteori och statistik


Sidor (från-till)20-32
Antal sidor13
TidskriftSignal Processing
StatusPublished - 2018 sep 1
Peer review utfördJa

Relaterad forskningsoutput

Johan Brynolfsson, 2019 maj 17, Media-Tryck, Lund: Centre for Mathematical Sciences, Lund University. 224 s.

Forskningsoutput: AvhandlingDoktorsavhandling (sammanläggning)

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