"The book is designed to provide a broad perspective of spectral estimation techniques and their implementation. Prerequisites are some knowledge of discrete-time linear system and transform theory, introductory probability and statistics, and linear algebra. The text provides the theoretical background and review material in linear systems, Fourier transforms, matrix algebra, random processes, and statistics. Topics covered include classical spectral estimation, Prony's method, parametric methods, the minimum variance method, eigenanalysis-based estimators, multichannel methods, and two-dimensional methods"-- Provided by publisher.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.