ALGORITHM FOR ESTIMATING THE TIME WINDOW SIGNAL " WHITE NOISE" IN THE PROBLEMS OF ACOUSTIC SPECTROMETRY ELASTOMERS

Abstract

Summary. In article the problem of choice of an optimum time interval and a quantization step at measurement of spectral characteristics of objects with using «white noise» signal with restrictions by technical possibilities of signal registration is considered. In the application of "white noise" as a stationary perturbing signal problems arise with the presence of distortions in the frequency spectrum due to the limited resolution of the digital recording device. When used in experimental studies of digital technology there is the possibility of distortion due to restrictions on the time signal "white noise" for a fixed number of points of the signal due to limited recording memory oscilloscope. For small time intervals distortion occurs in the low frequency region of the spectrum and at large intervals signal is distorted in the high-frequency area due to the lower sampling rate and, accordingly, the loss of information. To minimize distortions in the spectrum of the emitted signal it is proposed selection algorithm of the time window signal type "white noise" fixed (in the sense of the amount of sampling points) in terms of sample tasks for acoustic spectrometry based on the estimation of parameters of a linear function that approximates the spectrum and characterizing the linear trend.