  We develop a virtual analog model of the Klon Centaur guitar pedal circuit,
comparing various circuit modelling techniques. The techniques analyzed include
traditional modelling techniques such as nodal analysis and Wave Digital
Filters, as well as a machine learning technique using recurrent neural
networks. We examine these techniques in the contexts of two use cases: an
audio plug-in designed to be run on a consumer-grade desktop computer, and a
guitar pedal-style effect running on an embedded device. Finally, we discuss
the advantages and disdvantages of each technique for modelling different
circuits, and targeting different platforms.
