DocumentCode
2814974
Title
Spectral envelope estimation using a penalized likelihood criterion
Author
Cappé, Olivier ; Oudot, Marine ; Moulines, Eric
Author_Institution
ENST Dept. Signal, CNRS, Paris, France
fYear
1997
fDate
19-22, Oct 1997
Abstract
Finding a smooth spectral envelope that connects estimated sinusoids is a topic of major importance in audio signal processing. A penalized likelihood criterion is introduced for the estimation of the spectral envelope in the presence of measurement noise. Various simulation results are presented that highlight the efficiency of the proposed performance criterion
Keywords
acoustic signal processing; audio signals; maximum likelihood estimation; smoothing methods; spectral analysis; statistical analysis; audio signal processing; estimated sinusoids; measurement noise; penalized likelihood criterion; performance criterion efficiency; simulation results; spectral envelope estimation; statistical analysis; Filters; Frequency estimation; Frequency measurement; Frequency response; Inverse problems; Least squares approximation; Noise measurement; Parameter estimation; Particle measurements; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Applications of Signal Processing to Audio and Acoustics, 1997. 1997 IEEE ASSP Workshop on
Conference_Location
New Paltz, NY
Print_ISBN
0-7803-3908-8
Type
conf
DOI
10.1109/ASPAA.1997.625612
Filename
625612
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