Iterative spectral independent component analysis
Iterative spectral independent component analysis is a scholarly work, published in 2019 in ''Signal Processing''. The main subjects of the publication include Laplacian matrix, independent component analysis, Laplace operator, iterative numerical method, discretization, graph, signal processing, spectral graph theory, algorithm, mathematical optimization, artificial neural network, applied mathematics, mathematics, and computer science. The authors analyze its asymptotic optimality condition, related to the discretization error of the Graph Laplacian with respect to the continuous backward Fokker–Planck operator.