Adam, ChristianChristianAdamTeyfel, Michael H.Michael H.TeyfelSchröder, DietmarDietmarSchröder2020-03-272020-03-27201920th European Conference on Mathematics for Industry, 2018978-3-030-27550-1978-3-030-27549-5http://hdl.handle.net/11420/5529Analog-to-probability conversion is introduced as a new concept for efficient parameter extraction from analog signals that can be described by nonlinear models. The current state of information about these parameters is represented by a multivariate probability distribution. Only a digital-to-analog converter and a comparator are required as acquisition hardware. The introduced approach reduces the number of comparisons to be done by the hardware and therefore the total energy consumption. As a proof of concept the algorithm is implemented on a system-on-chip and compared to a nonlinear least squares approach.enTechnology::600: TechnologyConference Paper10.1007/978-3-030-27550-1_74Faragó, IstvánIstvánFaragóIzsák, FerencFerencIzsákSimon, Péter L.Péter L.SimonConference Paper