An edition of Topics in Non-Gaussian Signal Processing
(1989)
Topics in Non-Gaussian Signal Processing
by Edward J. Wegman
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The papers in this volume are the result of a fundamental reexamination of structure and inference methods for non- Gaussian stochastic 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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Topics in Non-Gaussian Signal Processing
1989, Springer New York
electronic resource /
in English
1461388619 9781461388616
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Book Details
Table of Contents
Contents: Modeling and Characterization: Bispectral Characterization of Ocean Acoustic Time Series: Nonlinearity and Non-Gaussianity. Class A Modeling of Ocean Acoustic Noise Processes. Statistical Characteristics of Ocean Acoustic Noise Processes. Conditionally Linear and Non-Gaussian Processes. A Graphical Tool for Distribution and Correlation Analysis of Multiple Time
Filtering, Estimation and Regression: Comments on Structure and Estimation for NonGaussian Linear Processes. Harmonizable Signal Extraction, Filtering and Sampling. Fisher Consistency of AM-Estimates of the Autoregression Parameter Using Hard Rejection Filter Cleaners. Bayes Least Squares Linear Regression is Asymptotically Full Bayes: Estimation of Spectral Densities
Detection and Signal Extraction: Signal Detection for Spherically Exchangeable (SE) Stochastic Processes. Contributions to Non-Gaussian Signal Processing. Detection of Signals in the Presence of Strong, Signal-Like Interference and Impulse Noise. On Non-Gaussian Signal Detection and Channel Capacity. Detection in a Non-Gaussian Environment: Weak and Fading Narrowband Signals. Energy Detection in the Ocean Acoustic Environment.
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