Maximum likelihood noise estimation for spectrogram segmentation control

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

Volumn 2, Issue , 2002, Pages

  Hory, Cyril ^a   Martin, Nadine ^a  

^a Lab des Images et des Signaux (LIS)   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION; SIGNAL RECONSTRUCTION; STATISTICAL METHODS; WHITE NOISE;

GAMMA DISTRIBUTION; SIGNAL SPECTROGRAM SEGMENTATION; WHITE GAUSSIAN PROCESS;

SPURIOUS SIGNAL NOISE;

EID: 0036299214     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icassp.2002.5744918     Document Type: Conference Paper

References (7)

1. Time-frequency space characterization based on statistical criterions
2. Spectrogram segmentation by means of statistical features for non-stationnary signal interpretation
3. A direct digital method of power spectrum estimation
4. The probability density of spectral estimates based on modified periodogram averages