A metric for assessing the degree of device nonlinearity and improving experimental design
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We propose a metric that quantifies the degree of nonlinearity of state-space trajectories for the purpose of improving the selection of collections of measurement data in the development of behavioral models. We illustrate the method with an off-the-shelf amplifier. We demonstrate the new sampling scheme with a measurement based model, and demonstrate that it quantitatively improves model accuracy.
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