Topics in Non-Gaussian Signal Processing

Overview

The papers in this volume are the result of a fundamental reexamination of structure and inference methods for non-
Gaussian shastic processes together with the application of such processes as models in the context of filtering,
estimation, detection and signal extraction. Considerable emphasis is placed on signal detection in the ocean en-
vironment.
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Paperback (Softcover reprint of the original 1st ed. 1989)
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Overview

The papers in this volume are the result of a fundamental reexamination of structure and inference methods for non-
Gaussian shastic processes together with the application of such processes as models in the context of filtering,
estimation, detection and signal extraction. Considerable emphasis is placed on signal detection in the ocean en-
vironment.
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Editorial Reviews

Booknews
Contains 15 papers that review current research progress and present new results in non-Gaussian signal processing, with a considerable emphasis on signal detection in the ocean environment. The information presented here results from a research program initiated by the Office of Naval Research. No index. Annotation c. Book News, Inc., Portland, OR booknews.com
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Product Details

  • ISBN-13: 9781461388616
  • Publisher: Springer New York
  • Publication date: 7/31/2012
  • Edition description: Softcover reprint of the original 1st ed. 1989
  • Edition number: 1
  • Pages: 235
  • Product dimensions: 6.14 (w) x 9.21 (h) x 0.53 (d)

Table of Contents

I: Modeling and Characterization.- 1. Bispectral Characterization of Ocean Acoustic Time Series: Nonlinearity and Non-Gaussianity.- 2. Class A Modeling of Ocean Acoustic Noise Processes.- 3. Statistical Characteristics of Ocean Acoustic Noise Processes.- 4. Conditionally Linear and Non-Gaussian Processes.- 5. A Graphical Tool for Distribution and Correlation Analysis of Multiple Time Series.- II: Filtering, Estimation and Regression.- 6. Comments on Structure and Estimation for NonGaussian Linear Processes.- 7.Harmonizable Signal Extraction, Filtering and Sampling.- 8. Fisher Consistency of AM-Estimates of the Autoregression Parameter Using Hard Rejection Filter Cleaners.- 9. Bayes Least Squares Linear Regression is Asymptotically Full Bayes: Estimation of Spectral Densities.- III: Detection and Signal Extraction.- 10. Signal Detection for Spherically Exchangeable (SE) Shastic Processes.- 11. Contributions to Non-Gaussian Signal Processing.- 12. Detection of Signals in the Presence of Strong, Signal-Like Interference and Impulse Noise.- 13. On NonGaussian Signal Detection and Channel Capacity.- 14. Detection in a Non-Gaussian Environment: Weak and Fading Narrowband Signals.- 15. Energy Detection in the Ocean Acoustic Environment.
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