Split-Spectrum Processing: Analysis of Polarity Thresholding Algorithm for Improvement of Signal-to-Noise Ratio and Detectability in Ultrasonic Signals

P. Mohana Shankar; Vernon L. Newhouse; Prasanna Karpur; Joseph L. Rose

doi:10.1109/58.16976

Split-Spectrum Processing: Analysis of Polarity Thresholding Algorithm for Improvement of Signal-to-Noise Ratio and Detectability in Ultrasonic Signals

P. Mohana Shankar, Vernon L. Newhouse, Prasanna Karpur, Joseph L. Rose

Engineering Science and Mechanics

Research output: Contribution to journal › Article › peer-review

51 Scopus citations

Abstract

A polarity thresholding algorithm that has recently been developed as a new algorithm of split-spectrum processing for ultrasonic coherent noise reduction is theoretically analyzed to evaluate its performance. The performance evaluation is conducted by first deriving the probability density function (PDF) of the output of the algorithm. The derived PDF is then used to calculate the theoretical signal-to-noise ratio enhancement and the receiver operating characteristics. The performance limits of the algorithm are also established. Such a theoretical analysis of a newly developed algorithm is essential to understand its performance, establish the limits of operation, and to develop confidence for implementation. Some experimental results of SNR enhancement obtained with the polarity thresholding algorithm are also presented.

Original language	English (US)
Pages (from-to)	101-108
Number of pages	8
Journal	IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Volume	36
Issue number	1
DOIs	https://doi.org/10.1109/58.16976
State	Published - Jan 1989

All Science Journal Classification (ASJC) codes

Instrumentation
Acoustics and Ultrasonics
Electrical and Electronic Engineering

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10.1109/58.16976

Cite this

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title = "Split-Spectrum Processing: Analysis of Polarity Thresholding Algorithm for Improvement of Signal-to-Noise Ratio and Detectability in Ultrasonic Signals",

abstract = "A polarity thresholding algorithm that has recently been developed as a new algorithm of split-spectrum processing for ultrasonic coherent noise reduction is theoretically analyzed to evaluate its performance. The performance evaluation is conducted by first deriving the probability density function (PDF) of the output of the algorithm. The derived PDF is then used to calculate the theoretical signal-to-noise ratio enhancement and the receiver operating characteristics. The performance limits of the algorithm are also established. Such a theoretical analysis of a newly developed algorithm is essential to understand its performance, establish the limits of operation, and to develop confidence for implementation. Some experimental results of SNR enhancement obtained with the polarity thresholding algorithm are also presented.",

author = "Shankar, {P. Mohana} and Newhouse, {Vernon L.} and Prasanna Karpur and Rose, {Joseph L.}",

note = "Funding Information: Manuscript received May 12. 1987; revised March 3, 1988. This work supported in part by the U.S. Air Force Office for Scientific Research and in part by the Electric Power Research Institute. P. M. Shankar and V. L. Newhouse are with the Department of Electrical and Computer Engineering, Drexel University, Philadelphia. PA 19104. P. Karpur was with the Department of Mechanical Engineering and Mechanics, Drexel University, Philadelphia, PA 19104; he is currently with Nondestructive Evaluation Branch, U.S. Air Force Wright Aeronautical Laboratories, Wright Patterson Air Force Base, Dayton, OH. J. L. Rose is with the Department of Mechanical Engineering and Mechanics, Drexel University, Philadelphia, PA 19104. IEEE Log Number 882433 1.",

year = "1989",

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Split-Spectrum Processing: Analysis of Polarity Thresholding Algorithm for Improvement of Signal-to-Noise Ratio and Detectability in Ultrasonic Signals. / Shankar, P. Mohana; Newhouse, Vernon L.; Karpur, Prasanna et al.
In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Vol. 36, No. 1, 01.1989, p. 101-108.

Research output: Contribution to journal › Article › peer-review

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AU - Karpur, Prasanna

AU - Rose, Joseph L.

N1 - Funding Information: Manuscript received May 12. 1987; revised March 3, 1988. This work supported in part by the U.S. Air Force Office for Scientific Research and in part by the Electric Power Research Institute. P. M. Shankar and V. L. Newhouse are with the Department of Electrical and Computer Engineering, Drexel University, Philadelphia. PA 19104. P. Karpur was with the Department of Mechanical Engineering and Mechanics, Drexel University, Philadelphia, PA 19104; he is currently with Nondestructive Evaluation Branch, U.S. Air Force Wright Aeronautical Laboratories, Wright Patterson Air Force Base, Dayton, OH. J. L. Rose is with the Department of Mechanical Engineering and Mechanics, Drexel University, Philadelphia, PA 19104. IEEE Log Number 882433 1.

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Split-Spectrum Processing: Analysis of Polarity Thresholding Algorithm for Improvement of Signal-to-Noise Ratio and Detectability in Ultrasonic Signals

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