Application of Higher-Order Cumulant-Based Inverse Filtering to the Quantification of Impulsive Noise for Hearing Conservation.
8th IEEE Digital Signal Processing Workshop, August 9-12, 1998, Bryce Canyon, Utah, 1998 Aug :1-4
Conventional metrics used to quantify acoustic waveforms in noise-induced hearing loss (NIHL) 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 impulsive characteristics. 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 cumulantbased inverse filtering.
Noise-measurement; Hearing-conservation; Hearing-disorders; Noise-exposure; Hearing-loss; Noise-waves; Analytical-processes; Noise-induced-hearing-loss; Hearing-protection
Sheau-Fang Lei, Altair Engineering, 1755 Fairlane Drive, Allen Park, MI 48101, USA
Research Tools and Approaches; Exposure Assessment Methods
The Eighth IEEE Digital Signal Processing Workshop
State University of New York, Plattsburgh, NY