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Nonlinear Methods of Spectral Analysis
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 8
Introduction
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Chapter 9
Prediction-error filtering and maximum-entropy spectral estimation
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Chapter 10
Autoregressive and mixed autoregressive-moving average models and spectra
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Chapter 11
Iterative least-squares procedure for ARMA spectral estimation
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Chapter 12
Maximum-likelihood spectral estimation
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Chapter 13
Application of the maximum-likelihood method and the maximum-entropy method to array processing
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Chapter 14
Recent advances in spectral estimation
Overall attention for this book and its chapters
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Mentioned by
syllabi
1
institution with syllabi
Citations
dimensions_citation
104
Dimensions
Readers on
mendeley
15
Mendeley
Book overview
8. Introduction
9. Prediction-error filtering and maximum-entropy spectral estimation
10. Autoregressive and mixed autoregressive-moving average models and spectra
11. Iterative least-squares procedure for ARMA spectral estimation
12. Maximum-likelihood spectral estimation
13. Application of the maximum-likelihood method and the maximum-entropy method to array processing
14. Recent advances in spectral estimation
Summary
Syllabi
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
1
syllabus from an institution on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Unknown
1
Art