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A generalized approach to random noise synthesis.

Authors
Hsueh-KD; Hamernik-RP
Source
J Acoust Soc Am 1989 Mar; 85:(Suppl 1):S40
NIOSHTIC No.
20045142
Abstract
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.
Keywords
Industrial-noise; Noise; Noise-exposure; Noise-frequencies; Environmental-exposure; Exposure-levels; Audiofrequency; Vibration; Acoustic-vibration; Acoustical-measurements; Acoustics
CODEN
JASMAN
Publication Date
19890301
Document Type
Abstract
Funding Type
Grant
Fiscal Year
1989
NTIS Accession No.
NTIS Price
Identifying No.
Grant-Number-R01-OH-002317
ISSN
0001-4966
Source Name
Journal of the Acoustical Society of America
State
NY
Performing Organization
State University of New York at Buffalo, Buffalo, New York
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