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Optimization of Weighting Factors for Multiple Window Time-Frequency Analysis

Författare:
Publiceringsår: 2009
Språk: Engelska
Sidor: 2283-2287
Dokumenttyp: Konferensbidrag

Sammanfattning

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.

Nyckelord

  • Probability Theory and Statistics

Övriga

17th European Signal Processing Conference, 2009
Published
  • Statistical Signal Processing Group

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