Split spectrum processing: performance of the polarity thresholding algorithm in signal-to-noise ratio enhancement in ultrasonic applications

V. L. Newhouse, Joseph Lawrence Rose, P. Karpur, P. M. Shankar

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Scopus citations

Abstract

The performance of a nonlinear polarity thresholding algorithm was evaluated for coherent noise suppression in ultrasonic signals when the signal-to-noise ratio of the input signal was greater than unity. Probability of false alarm, probability of detection, and the receiver operating characteristics of the algorithm were developed so that its applicability to a given situation can be assessed before utilizing the technique. The algorithm introduces spurious high frequency contents to the grain noise amplitude and thereby motivates a low frequency bandpass filtering of the output signal to further reduce the coherent noise content of the signal. The results indicate that it is not necessary for the target signal amplitude to be larger than the noise level for an effective implementation of split spectrum processing.

Original languageEnglish (US)
Title of host publicationReview of Progress in Quantitative Nondestructive Evaluation
Pages865-874
Number of pages10
Volume7 A
StatePublished - 1988

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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