Bibliography and Index of the Sirenia and Desmostylia  


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"Niezrecki, C"

 
 
Niezrecki, C.; Phillips, R.; Meyer, M.; Beusse, D. O., Jr. (detail)
   
2003
Acoustic detection of manatee vocalizations.
Jour. Acoustical Soc. Amer. 114(3): 1640-1647.
 
 
Phillips, R.; Niezrecki, C.; Beusse, D. O., Jr. (detail)
   
2004
Determination of West Indian manatee vocalization levels and rate.
Jour. Acoustical Soc. Amer. 115(1): 422-428.
 
 
Yan, Z.; Niezrecki, C.; Beusse, D. O., Jr. (detail)
   
2005
Background noise cancellation for improved acoustic detection of manatee vocalizations.
Jour. Acoustical Soc. Amer. 117(6): 3566-3573.
 
 
Phillips, R.; Niezrecki, C.; Beusse, D. O. (detail)
   
2006
Theoretical detection ranges for acoustic based manatee avoidance technology.
Jour. Acoust. Soc. Amer. 120(1): 153-163.
 
 
Yan, Z.; Niezrecki, C.; Cattafesta, L. N., III; Beusse, D. O. (detail)
   
2006
Background noise cancellation of manatee vocalizations using an adaptive line enhancer.
Jour. Acoust. Soc. Amer. 120(1): 145-152.
 
 
Gur, M. Berke; Niezrecki, Christopher (detail)
   
2007
Autocorrelation based denoising of manatee vocalizations using the undecimated discrete wavelet transform.
Jour. Acoust. Soc. Amer. 122(1): 188.
 
 
Muanke, P. B.; Niezrecki, C. (detail)
   
2007
Manatee position estimation by passive acoustic localization.
Jour. Acoust. Soc. Amer. 121(4): 2049-2059.
 
 
Gur, M. Berke; Niezrecki, Christopher (detail)
   
2009
A source separation approach to enhancing marine mammal vocalizations.
Journal of the Acoustical Society of America 126(6): 3062-3070. DOI: 10.1121/1.3257549. Dec. 2009.
–ABSTRACT: A common problem in passive acoustic based marine mammal monitoring is the contamination of vocalizations by a noise source, such as a surface vessel. The conventional approach in improving the vocalization signal to noise ratio (SNR) is to suppress the unwanted noise sources by beamforming the measurements made using an array. In this paper, an alternative approach to multi-channel underwater signal enhancement is proposed. Specifically, a blind source separation algorithm that extracts the vocalization signal from two-channel noisy measurements is derived and implemented. The proposed algorithm uses a robust decorrelation criterion to separate the vocalization from background noise, and hence is suitable for low SNR measurements. To overcome the convergence limitations resulting from temporally correlated recordings, the supervised affine projection filter update rule is adapted to the unsupervised source separation framework. The proposed method is evaluated using real West Indian manatee (Trichechus manatus latirostris) vocalizations and watercraft emitted noise measurements made within a typical manatee habitat in Florida. The results suggest that the proposed algorithm can improve the detection range of a passive acoustic detector five times on average (for input SNR between ?10 and 5?dB) using only two receivers.
 
 
Gur, M. Berke; Niezrecki, Christopher (detail)
   
2011
A wavelet packet adaptive filtering algorithm for enhancing manatee vocalizations.
Jour. Acoustical Soc. Amer. 129(4): 2059-2067.

Daryl P. Domning, Research Associate, Department of Paleobiology, National Museum of Natural History, Smithsonian Institution, Washington, D.C. 20560, and Laboratory of Evolutionary Biology, Department of Anatomy, College of Medicine, Howard University, Washington, D.C. 20059.
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