In many applications, an adaptive algorithm is mandatory to account for the complexity of the signal under consideration.

It has not been more than a decade since Semiclassical Signal Analysis was introduced. The idea is to expand a given function into a basis which depends on the inherent features of the signal, mainly targeting the shape and the energy. 

SCSA is based on the Schrodinger operator which yields remarkable behavior when the Plank's constant converges to zero, or equivalently, the mass of the particle assumes larger and larger values.