Accession Number:

ADA454915

Title:

Wavelet Packet Based Transient Signal Classification

Descriptive Note:

Corporate Author:

MASSACHUSETTS INST OF TECH CAMBRIDGE

Personal Author(s):

• Learned, Rachel E.
• Karl, William C.
• Willsky, Alan S.

Report Date:

2006-01-01

Pagination or Media Count:

5.0

Abstract:

Non-stationary signals are not well suited for detection and classification by traditional Fourier methods. An alternate means of analysis needs to be employed so that valuable time-frequency information is not lost. The wavelet packet transform is one such time-frequency analysis tool. This paper summarizes which examine the feasibility of applying the wavelet packet transform to automatic transient signal classification through the development of a classification algorithm for biologically generated underwater acoustic signals in ocean noise. The formulation of a wavelet packet based feature set specific to the classification of snapping shrimp and whale clicks is given.

Descriptors:

• *SIGNAL PROCESSING
• *CLASSIFICATION
• *WAVELET TRANSFORMS
• ALGORITHMS
• ACOUSTIC SIGNALS
• AQUATIC ANIMALS
• UNDERWATER SOUND SIGNALS
• FOURIER ANALYSIS
• DETECTION
• SIGNAL TO NOISE RATIO

Subject Categories:

• Information Science
• Miscellaneous Detection and Detectors
• Acoustics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE