Topic
Maximum entropy spectral estimation
About: Maximum entropy spectral estimation is a research topic. Over the lifetime, 2381 publications have been published within this topic receiving 61143 citations.
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Journal Article•
21 Mar 1991
TL;DR: In this article, the authors introduce the concept of Stationary Random Processes and Spectral Analysis in the Time Domain and Frequency Domain, and present an analysis of Processes with Mixed Spectra.
Abstract: Preface. Preface to Volume 2. Contents of Volume 2. List of Main Notation. Basic Concepts. Elements of Probability Theory. Stationary Random Processes. Spectral Analysis. Estimation in the Time Domain. Estimation in the Frequency Domain. Spectral Analysis in Practice. Analysis of Processes with Mixed Spectra.
5,238 citations
TL;DR: Results indicate that the normalised entropy measure provides significantly improved behaviour over a range of imaged fields of view.
2,364 citations
TL;DR: In this paper, a method for estimating the Kolmogorov entropy directly from a time signal is proposed and tested on examples, which should prove valuable for characterizing experimental chaotic signals.
Abstract: A new method for estimating the Kolmogorov entropy directly from a time signal is proposed and tested on examples. The method should prove valuable for characterizing experimental chaotic signals.
1,294 citations
Book•
25 Jun 1993TL;DR: In this paper, the authors present a method for the calculation of discrete prolate spheroidal sequences using linear time-invariant filters and multiple taper spectral estimation.
Abstract: Glossary of symbols 1. Introduction to spectral analysis 2. Stationary stochastic processes 3. Deterministic spectral analysis 4. Foundations for stochastic spectral theory 5. Linear time-invariant filters 6. Non-parametric spectral estimation 7. Multiple taper spectral estimation 8. Calculation of discrete prolate spheroidal sequences 9. Parametric spectral estimation 10. Harmonic analysis References Appendix: data and code via e-mail Index.
1,228 citations