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Parameter estimation of Gaussian functions using the scaled reassigned spectrogram

In English

Författare

Summary, in English

In this paper we suggest an improved algorithm for estimation of parameters detailing Gaussian functions and expand it to handle linear combinations of Gaussian functions. Components in the signal are first detected in the spectrogram, which is calculated using a Gaussian window function. Scaled reassignment is then 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. Exploiting the fact that a Gaussian function may be perfectly reassigned into one single point given the correct scaling, one may identify the parameters detailing the Gaussian function. We evaluate the algorithm on both simulated and real data.

Avdelning/ar

Publiceringsår

2015

Språk

Engelska

Sidor

988-992

Publikation/Tidskrift/Serie

Signal Processing Conference (EUSIPCO), 2015 23rd European

Dokumenttyp

Konferensbidrag

Förlag

IEEE - Institute of Electrical and Electronics Engineers Inc.

Ämne

  • Signal Processing

Conference name

23rd European Signal Processing Conference, 2015

Conference date

2015-08-31 - 2015-09-04

Conference place

Nice, France

Status

Published

Forskningsgrupp

  • Statistical Signal Processing
  • Statistical Signal Processing Group