Loveless, Thomas Daniel
Ahmed, Raga; Reising, Donald R.
College of Engineering and Computer Science
University of Tennessee at Chattanooga
Place of Publication
Window functions are commonly used in data processing to detect transient events or for time-averaging of frequency spectra. A generalized window function is demonstrated using the Ionizing Radiation Effects Spectroscopy (IRES) technique to enhance the measurement of transient anomalies within arbitrary waveforms. The IRES filter convolves time data with a sliding window consisting of a moment-generating function. The resulting time-dependent statistical moments are used to eliminate any steady-state signatures, including noise, and extract transient behaviors. The IRES filter analyzes data from heavy-ion exposures of commercial off-the-shelf (COTS) operational amplifiers, laser-induced transients in Complementary Metal-Oxide-Semiconductor (CMOS) phase-locked loops, and simulated transients in digital and analog circuits.The performance of the IRES filter in noisy environments shows that transients can be measured with higher fidelity than standard amplitude thresholding. This statistical window analysis technique may remove the need for complex triggering mechanisms on instrumentation and doesn’t require a-prior knowledge of transient characteristics.
This work was supported in part by the Defense Threat Reduction Agency under award number HDTRA1-17-1-0003.Special thanks to G. Allen and the team at JPL, T. Turflinger, K. Label, M. Campola and the team at NASA GSFC, J. Caulkins, and the MSU FRIB team for aiding in the testing at MSU’s FRIB facility.
M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science.
Ionizing radiation--Measurement; Materials--Effect of radiation on
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Carpenter, James, "Analysis of single event transients in arbitrary waveforms using statistical window analysis" (2024). Masters Theses and Doctoral Dissertations.