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Optimization of Weighting Factors for Multiple Window Time-Frequency Analysis

Författare

Summary, in English

This paper concerns the optimal weighting factors for multiple

window spectrogram estimation of different stationary

and non-stationary processes. The choice of windows are of

course important but the weighting factors in the average of

the different spectrograms are as important. The criterion for

optimization is the normalized mean square error where the

normalization factor is the spectrogramestimate. This means

that the unknown weighting factors will be present in the numerator

as well as in the denominator. A quasi-Newton algorithm

is used for the estimation. The optimization is compared

for a number of well known sets of multiple windows

and the results show that the number as well as the shape of

the windows are important factors for a small mean square

error.

Avdelning/ar

Publiceringsår

2009

Språk

Engelska

Sidor

2283-2287

Dokumenttyp

Konferensbidrag

Ämne

  • Probability Theory and Statistics

Conference name

17th European Signal Processing Conference, 2009

Conference date

2009-08-24 - 2009-08-28

Conference place

Glasgow, Scotland, United Kingdom

Status

Published

Forskningsgrupp

  • Statistical Signal Processing Group