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Matched Gaussian Multitaper Spectrogram

In English

Författare

Summary, in English

A novel multitaper spectrogram estimator for Gaussian func-

tions is proposed. The multitapers are the Hermite functions

and a fixed number of few multitapers are used in the estimate.

The weighting factors of the different spectrogram functions

are optimized to give the approximative Wigner distribution

for the Gaussian function. The performance of the estimator

is investigated in terms of resolution and cross-term reduc-

tion in the time-frequency domain. Additionally, a simula-

tion example shows the robustness against white noise distur-

bances. The performance of the new estimator is compared to

the Wigner distribution, the usual spectrogram as well as the

Choi-Williams and the Born-Jordan distributions.

Avdelning/ar

Publiceringsår

2013

Språk

Engelska

Publikation/Tidskrift/Serie

[Host publication title missing]

Dokumenttyp

Konferensbidrag

Förlag

IEEE - Institute of Electrical and Electronics Engineers Inc.

Ämne

  • Probability Theory and Statistics

Nyckelord

  • time-frequency
  • multitaper
  • multiple window
  • Hermite function
  • Gaussian
  • matched

Conference name

21st European Signal Processing Conference (EUSIPCO 2013)

Conference date

2013-09-09 - 2013-09-13

Conference place

Marrakech, Morocco

Status

Published

Forskningsgrupp

  • Statistical Signal Processing
  • Statistical Signal Processing Group