A tutorial overview of modern spectral estimation
S.L. Marple · International Conference on Acoustics, Speech, and Signal Processing · 2003
A summary of several modern spectral estimation methods is presented. Most of the methods can be explained in the context of parametric time-series modeling. A few methods involve nonparametric treatment. The techniques discussed include classical spectral estimation, autoregressive (maximum entropy), ARMA (autoregressive moving average), Prony, maximum-likelihood, Pisarenko, and MUSIC methods. Many of the techniques have fast computational algorithms, making them viable for real-time applications. The tutorial concludes with a commentary concerning current spectral estimation research.>