Topics in Non-Gaussian Signal Processing
By: edited by Edward J. Wegman, Stuart C. Schwartz, John B. Thomas
Contributors: Schwartz, Stuart C.; Thomas, John B.
Publisher: Springer New York
Published: 1989
Place of publication: New York, NY
Language: eng
Format: [electronic resource] /
Number of pages: 235
ISBN-13: 9781461388616; 9781461388593
Subjects: Engineering; Telecommunication
Description: 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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Table of contents: title: 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; title: 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; title: 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.