Short time fourier transform probability distribution for time-frequency segmentation

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

Volumn 3, Issue , 2006, Pages

  Millioz, Fabien ^a   Huillery, Julien ^a   Martin, Nadine ^a  

^a GIPSA LAB   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; FOURIER TRANSFORMS; GAUSSIAN NOISE (ELECTRONIC); IMAGE SEGMENTATION; STATISTICAL METHODS;

AUTOMATIC SEGMENTATION ALGORITHM; SHORT TIME FOURIER TRANSFORM (STFT); TIME-FREQUENCY SPACE;

PROBABILITY DISTRIBUTIONS;

EID: 33947651092     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. C. Hory, N. Martin and A. Chehikian, "Spectrogram segmentation by means of statistical features of non-stationnary signal interpretation," IEEE Transactions on Signal Processing, vol. 50, no. 12, pp. 2915-2925, december 2002.
2. C. Hory and N. Martin, "Maximum likelihood noise estimation for spectrogram segmentation control," in Proceedings of ICASSP02, Orlando, USA, 2002, pp. 1581-1584.
3. L.H. Koopmans, The Spectral Analysis of Time Series, Academic Press, 1974.
4. P.E. Johnson and D.G. Long, "The Probability Density of Spectral Estimates Based on Modified Periododram Avergares," IEEE Transactions on Signal Processing, vol. 47, may 1999.
5. R.O. Duda and P.E. Hart, Pattern Classification and Scene Analysis, Wiley, 1973.
6. J. F. Kenney and E. S. Keeping, Mathematics of Statistics, Van Nostrand, 1951.