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Construction of a joint peak-interval histogram using higher-order cumulant-based inverse filtering.

Authors
Lei-SF; Hamernik-RP
Source
1998 Int Conf Acoustics, Speech, and Signal Processing, May 12-15, 1998, Seattle, Washington, 1998 May; :1-4
NIOSHTIC No.
20023609
Abstract
Conventional metrics used to quantify signals in noise/hearing research rely primarily on time-averaged energy and spectral analyses. Such metrics, while appropriate for Gaussian-distributed waveforms, are of limited value in the more complex sound environments encountered in industrial/military settings that have nonGaussian and nonstationary-distributed waveforms. Recent research has shown that metrics incorporating the temporal characteristics of a waveform are needed to evaluate hazardous acoustic environments for purposes of hearing conservation. The joint peak-interval histogram is a prospective candidate for use in such an application. This paper shows that the joint peak-interval histogram can be obtained from an estimation of the temporal pattern of a complex noise waveform by using higher-order cumulate-based inverse filtering.
Keywords
Noise-measurement; Hearing-conservation; Hearing-disorders; Noise-exposure; Hearing-loss; Noise-waves; Analytical-processes; Noise-induced-hearing-loss; Hearing-protection; Industrial-environment
Contact
Auditory Research Laboratory, Plattsburgh State University, 101 Broad Street, Plattsburgh, NY 12901, USA
Publication Date
19980512
Document Type
Conference/Symposia Proceedings
Funding Amount
161558
Funding Type
Grant
Fiscal Year
1998
NTIS Accession No.
NTIS Price
Identifying No.
Grant-Number-K01-OH-000139
Priority Area
Research Tools and Approaches; Exposure Assessment Methods
Source Name
The 1998 International Conference on Acoustics, Speech, and Signal Processing
State
NY; WA
Performing Organization
State University of New York, Plattsburgh, NY
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