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A generalized approach to random noise synthesis.
J Acoust Soc Am 1989 Mar; 85:(Suppl 1):S40
A generalized approach to the syntheses of Gaussian and non-Gaussian random noises having a preselected amplitude spectrum has been developed. An application of the inverse discrete Fourier transform following certain manipulations in the frequency domain allows both Gaussian (skewness = 0 and kurtosis = 3) and non-Gaussian (variable skewness, kurtosis, and crest factor) random noises to be constructed. The theoretical background and the results of a numerical simulation will be presented, which demonstrate the functional relation between the various spectral manipulations and the descriptors of the synthesized random noise. Analog signals were synthesized using the above method in conjunction with PC-based instrumentation. The results show that the approach is viable and that the synthesized random waveforms can be easily tailored to simulate a variety of real-world noise/vibration signals, e.g., high kurtosis (impulsive) industrial noises, helicopter noises, and missile vibration signals. The application of such a methodology to acoustical testing, environmental stress screening, structural testing, etc., will be discussed.
Industrial-noise; Noise; Noise-exposure; Noise-frequencies; Environmental-exposure; Exposure-levels; Audiofrequency; Vibration; Acoustic-vibration; Acoustical-measurements; Acoustics
Journal of the Acoustical Society of America
Plattsburgh State University, New York
Page last reviewed: September 2, 2020
Content source: National Institute for Occupational Safety and Health Education and Information Division