A Unique Method for Detecting and Characterizing Low Probability of Intercept Frequency Hopping Radar Signals by means of the Wigner-Ville Distribution and the Reassigned Smoothed Pseudo Wigner-Ville Distribution

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Daniel L. Stevens
Daniel L. Stevens

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GJRE Volume 22 Issue F3

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A Unique Method for Detecting and Characterizing Low Probability of Intercept Frequency Hopping Radar Signals by means of the Wigner-Ville Distribution and the Reassigned Smoothed Pseudo Wigner-Ville Distribution Banner

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The objective of our study was to evaluate, in a population of Togolese People Living With HIV(PLWHIV), the agreement between three scores derived from the general population namely the Framingham score, the Systematic Coronary Risk Evaluation (SCORE), the evaluation of the cardiovascular risk (CVR) according to the World Health Organization.
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No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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Dr. Daniel L. Stevens. 2026. \u201cA Unique Method for Detecting and Characterizing Low Probability of Intercept Frequency Hopping Radar Signals by means of the Wigner-Ville Distribution and the Reassigned Smoothed Pseudo Wigner-Ville Distribution\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 22 (GJRE Volume 22 Issue F3): .

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Radar signal detection method for engineering research studies.
Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-F Classification: DDC Code: 621.3848 LCC Code: TK6592.S95
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v1.2

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October 10, 2022

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English

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A Unique Method for Detecting and Characterizing Low Probability of Intercept Frequency Hopping Radar Signals by means of the Wigner-Ville Distribution and the Reassigned Smoothed Pseudo Wigner-Ville Distribution

Daniel L. Stevens
Daniel L. Stevens

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