Abstract: As the cornerstone of nonlinear kernel learning algorithms, the kernel functions play a major role in sparse modeling via learning from data, as it largely determines the performance of a ...

Abstract: This work proposes a new approach to find the generating function (GF) of the Zernike polynomials in two dimensional form. Combining the methods of GFs and discrete-time systems, we can ...