Short Time Fourier Transform Probability Distribution for Time-Frequency Segmentation

Author

Millioz, Fabien ; Huillery, Julien ; Martin, Nadine

Author_Institution

Lab. of Image & Signal, St. Martin d´´Heres

Volume

3

fYear

2006

fDate

14-19 May 2006

Abstract

Taking as signal model the sum of a non-stationary deterministic part embedded in a white Gaussian noise, this paper presents the distribution of the coefficients of the short time Fourier transform (STFT), which is used to determine the maximum likelihood estimator of the noise level. We then propose an automatic segmentation algorithm of the real and imaginary parts of the STFT based on statistical features, which is an alternative to the spectrogram segmentations considered as image segmentations. Examples of segmented time-frequency space are presented on a simulated signal and on a dolphin whistle

Keywords

Fourier transforms; Gaussian noise; image segmentation; maximum likelihood estimation; statistical distributions; time-frequency analysis; white noise; automatic segmentation algorithm; dolphin whistle; image segmentations; maximum likelihood estimator; probability distribution; short time Fourier transform; spectrogram segmentations; statistical features; time-frequency segmentation; white Gaussian noise; Dolphins; Fourier transforms; Gaussian noise; Image segmentation; Laboratories; Maximum likelihood estimation; Noise level; Probability distribution; Spectrogram; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1660687

Filename

1660687