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Signal Processing for Experiments with Nonlinear Energy Sinks

Authors: D. Michael McFarland;

Signal Processing for Experiments with Nonlinear Energy Sinks

Abstract

This chapter summarizes several notes on signal processing and numerical computation that have been compiled in the course of performing the experiments reported throughout this volume. While these techniques are certainly not limited to processing data from nonlinear dynamics research, they have proven particularly useful in helping obtain good quantitative agreement between simulations and experiments with the strongly nonlinear models treated herein. Without careful attention to matters such as transducer dynamics, recovering correct time his tory data is especially difficult, and errors that might go unnoticed in the analysis of linear systems can be unacceptable in the nonlinear setting.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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