Let's first review the classic stationary regression theory. Let be a time series, it can be represented in the norm of
(called basis function) in the least square criteria:
The minimization of equation 2 is ill-posed for the reason that more unknown variables than given variables need to be found. In the theory of SDRNAR, Fomel (2013) used shaping regularization to constrain equation 2.