Member of the Romanian Academy STATISTICAL FILTRATION, A NEW AND EFFICIENT METHOD FOR ULTRASONIC SIGNAL FILTRATION

A new and efficient method of signal filtration in ultrasonic systems is proposed. This kind of filtration, can be called “statistical filtration”, because it is based on the statistical functions of correlation theory. The method is based on the transfer of needed information about the supervised characteristic, from the signals, on their correlation functions. It gives some good results in precision improvement of different characteristic determinations in ultrasonic systems The method uses different types of correlation theory functions to improve the ratio between the signal containing the needed information about the supervised characteristic, and the noise or perturbation signal. In this way, one can obtain a substantial diminution of the errors in the determination of the needed characteristics obtained by the signal analysis, especially in ultrasonic systems. Key words: Statistical signal filtration. Dynamic characteristic determinations Measurement precision improvement. 1