A metric for assessing the degree of device nonlinearity and improving experimental design

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.