Abstract
Many signal-processing techniques have been found to be useful in ultrasonic and nondestructive evaluation (NDE). Among the most popular techniques are signal averaging, spatial compounding, matched filters, and homomorphic processing. One of the significant new processes of the last decade is split-spectrum processing (SSP), which can be equally useful in signal-to-noise ratio (SNR) improvement and grain characterization in several engineering materials. The purpose of this paper is to explore the utility of SSP in ultrasonic NDE. A wide variety of engineering problems are reviewed, and suggestions for implementation of the technique are provided. SSP uses the frequency-dependent response of the interfering coherent noise produced by unresolvable scatterers in the resolution range cell of a transducer. A recently developed algorithm, called the polarity thresholding algorithm, which provides an excellent SNR enhancement when used either in conjunction with other SSP algorithms like minimization or by itself, is also presented.
| Original language | English (US) |
|---|---|
| Pages | 114-122 |
| Number of pages | 9 |
| Volume | 46 |
| No | 1 |
| Specialist publication | Materials Evaluation |
| State | Published - Jan 1 1988 |
All Science Journal Classification (ASJC) codes
- General Materials Science
- Mechanics of Materials
- Mechanical Engineering