Journal article
Split-spectrum processing: analysis of polarity threshold algorithm for improvement of signal-to-noise ratio and detectability in ultrasonic signals
IEEE transactions on ultrasonics, ferroelectrics, and frequency control, v 36(1)
Jan 1989
PMID: 18284955
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
A polarity thresholding algorithm that has recently been developed for split-spectrum processing for ultrasonic coherent noise reduction is theoretically analyzed to evaluate its performance. The probability density function (PDF) of the output of the algorithm is derived and used to calculate the theoretical signal-to-noise ratio (SNR) enhancement and the receiver operating characteristics. The performance limits of the algorithm are also established. Some experimental results of SNR enhancement obtained with the polarity thresholding algorithm are presented.< >
Metrics
Details
- Title
- Split-spectrum processing: analysis of polarity threshold algorithm for improvement of signal-to-noise ratio and detectability in ultrasonic signals
- Creators
- P.M Shankar - Drexel UniversityP Karpur - Wright-Patterson AFBV.L Newhouse - Drexel UniversityJ.L Rose - Engineering Science and Mechanics
- Publication Details
- IEEE transactions on ultrasonics, ferroelectrics, and frequency control, v 36(1)
- Publisher
- IEEE
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering; [Retired Faculty]
- Web of Science ID
- WOS:A1989T256300013
- Scopus ID
- 2-s2.0-0024478964
- Other Identifier
- 991019173796604721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Acoustics
- Engineering, Electrical & Electronic