Levinson’s Algorithm, Wold’s Decomposition, and Spectral Estimation
Levinson’s algorithm is developed in the context of mean-square estimation and is applied to a variety of topics related to Wiener filtering and spectral estimation. The study includes the innovations approach to prediction theory, Wold’s decomposition, lattice filters, autoregressive processes, the method of maximum entropy, and the general class of extrapolating spectra.