  We present in this paper the motivation and theory of nonlinear spectral
representations, based on convex regularizing functionals. Some comparisons and
analogies are drawn to the fields of signal processing, harmonic analysis and
sparse representations. The basic approach, main results and initial
applications are shown. A discussion of open problems and future directions
concludes this work.
