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Recovering a short timescale signal from a pair of long-delay visars
Author(s) -
David J. Erskine
Publication year - 2012
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.3686308
Subject(s) - signal (programming language) , reciprocal , fourier transform , time domain , algorithm , integer (computer science) , computer science , domain (mathematical analysis) , signal processing , component (thermodynamics) , sensitivity (control systems) , process (computing) , fast fourier transform , control theory (sociology) , frequency domain , mathematics , mathematical analysis , electronic engineering , digital signal processing , physics , artificial intelligence , engineering , computer vision , philosophy , linguistics , control (management) , computer hardware , thermodynamics , programming language , operating system
We introduce the benefits of analyzing VISAR data in the Fourier domain, particularly for recovering the short time scale signal component. In particular, by combining data from two VISARS having different long delays, we effectively reproduce the short time resolution ability of a short delay while retaining the superior sensitivity to absolute velocity of a long delay. Two different delays are generally desired, not only to untangle integer fringe skips, but to circumvent the fact that a single VISAR cannot record signal components of frequencies periodic with its reciprocal delay. Combining two different delays solves this. We treat the VISARs as linear filters and process and combine the signals in the Fourier domain with a direct equation, without any iteration of time-retarded equations. The technique is demonstrated with a numerical simulation.

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