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Application of the wavelet transform and higher-order cumulant-based inverse filtering to the quantification of non-Gaussian noise for use in estimating hearing hazards.
Lei SF; Hamernik RP
1998 Midwinter Meeting Assoc Res Otolaryngology, St. Petersburg Beach, Florida, 1998 Feb; :1-19
The foundation of the ISO-1999 standard for estimating NIHL in noise-exposed groups is tied to two postulates that form the basis of: (a) an age correction procedure and (b) the use of an energy metric (Leq) to quantify the exposure. This leads to a straight-forward relation; NIHL = f(age, Leq). Implicit in such a formulation is that temporal variables associated with a noise exposure are not significant for the production of NIHL. This is contrary to the accumulating experimental data that suggest that energy may be a necessary but not sufficient metric for the evaluation of noise exposures. For example, Lei et al. 1 have shown that the statistical properties of a nonGaussian noise, reflected in the kurtosis statistic, which incorporates both temporal and peak properties of a signal in the time domain [_B(t)] and spectral effects, when computed on the frequency domain signal [_B(f)], are highly correlated with the magnitude and distribution of sensory cell loss. In this paper we describe an approach to and present a rationale for the analysis of noise environments that incorporates the wavelet transform and higher-order cumulant based inverse filtering to obtain B(t), B(f), and the joint peak-interval histogram.
Noise-measurement; Hearing-conservation; Hearing-disorders; Noise-exposure; Hearing-loss; Noise-waves; Analytical-processes; Noise-induced-hearing-loss; Hearing-protection
1998 Midwinter Meeting of the Association for Research in Otolaryngology
State University of New York, Plattsburgh, NY
Page last reviewed: September 2, 2020
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