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Parameter estimation of Gaussian functions using the scaled reassigned spectrogram

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Author

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.

Department/s

Publishing year

2015

Language

English

Pages

988-992

Publication/Series

Signal Processing Conference (EUSIPCO), 2015 23rd European

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Signal Processing

Conference name

23rd European Signal Processing Conference, 2015

Conference date

2015-08-31 - 2015-09-04

Conference place

Nice, France

Status

Published

Research group

  • Statistical Signal Processing
  • Statistical Signal Processing Group