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Adaptive enhancement of marine mamma...

Gur, Berke M.

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Adaptive enhancement of marine mammal vocalizations.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Adaptive enhancement of marine mammal vocalizations./
作者:	Gur, Berke M.
面頁冊數:	256 p.
附註:	Source: Dissertation Abstracts International, Volume: 70-01, Section: B, page: 0635.
Contained By:	Dissertation Abstracts International70-01B.
標題:	Biology, Oceanography. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3343444
ISBN:	9780549983064

Adaptive enhancement of marine mammal vocalizations.
Gur, Berke M.

Adaptive enhancement of marine mammal vocalizations. - 256 p.

Source: Dissertation Abstracts International, Volume: 70-01, Section: B, page: 0635.

Thesis (Ph.D.)--University of Massachusetts Lowell, 2008.

In this dissertation, adaptive signal enhancement and noise reduction algorithms for marine mammal vocalizations (specifically, manatee vocalizations) are investigated motivated by the recent advances in speech processing. There has been a recent growing interest in the scientific community for acoustically monitoring marine mammals. Noise-free vocalization measurements are crucial for effective detection and classification. However, the vocalizations are generally distorted due to multi-path channel transmission, and further corrupted with background noise. In this research, the problem is approached in the unsupervised adaptive filtering framework. Several signal models are proposed for modeling the vocalizations and background noise. First, wavelet domain denoising (WDD) is proposed as a single channel noise reduction approach. Numerical simulations and tests conducted using real vocalization and noise data show that the WDD algorithm outperforms linear filtering. Second, blind source separation (BSS) is employed for enhancing vocalization signals buried in acoustic noise such as propeller cavitation noise emitted from surface vessels. A new time domain BSS algorithm based on the affine projection (AP) algorithm is proposed. The signal enhancement performance of the new algorithm is compared to several well-known decorrelation based BSS algorithms. Numerical simulations and experiments conducted with real recordings indicate that the AP based BSS algorithm can enhance weak vocalization signals in the presence of other point noise sources. Finally, weak signal detectors that complement the signal enhancement algorithms are proposed. The contribution of this dissertation is the introduction of contemporary adaptive signal enhancement schemes which constitute viable alternatives to conventional noise cancelling and beamforming techniques for enhancing marine mammal vocalizations.

ISBN: 9780549983064Subjects--Topical Terms:

783691
Biology, Oceanography.

Adaptive enhancement of marine mammal vocalizations.
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