Title

Spectrum Analysis—A Modern Perspective

Document Type

Article

Date of Original Version

1-1-1981

Abstract

A summary of many of the new techniques developed in the last two decades for spectrum analysis of discrete time series is presented in this tutorial An examination of the underlying time series model assumed by each technique serves as the common basis for understanding the differences among the various spectrum analysis approaches. Techniques discussed include the classical periodogram, classical Blackman-Tukey, autoregressive (maximum entropy), moving average, autoregressive-moving average, maximum likelihood, Prony, and Pisarenko methods. A summary table in the text provides a concise overview for all methods, including key references and appropriate equations for computation of each spectral estimate. Copyright © 1981 The Institute of Electrical and Electronics Engineers, Inc.

Publication Title

Proceedings of the IEEE

Volume

69

Issue

11

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