  We consider how to analyze microcalorimeter pulses for quantities that are
nonlinear in the data, while preserving the signal-to-noise advantages of lin-
ear optimal filtering. We successfully apply our chosen approach to compute the
electrothermal feedback energy deficit (the "Joule energy") of a pulse, which
has been proposed as a linear estimator of the deposited photon energy.
