In ultrasonic nondestructive evaluation (NDE), flaw indications consist of a superposition of three separate signals: the desired reflection from the flaw, the noise signal from the electronics, and the noise signal from the microstructure of the material being examined. The electronic noise signal can be significantly reduced by time averaging. The microstructural noise signal can be reduced by a method known as Split Spectrum Processing (SSP). In the study, a C-language implementation of the SSP algorithm was developed and parameters of the technique were adjusted to optimize performance for both fabricated and real ultrasonic data. Results of these investigations and a general evaluation of the SSP filter will be presented.
 

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