Wegman E.W., Schwartz S.C., Thomas J.B. (eds.) Topics in Non-Gaussian Signal Processing

New York: Springer, 1989. — 245 p.Non-Gaussian Signal Processing is a child of a technological push. It is evident that we are moving from an era of simple signal processing with relatively primitive electronic cir­ cuits to one in which digital processing systems, in a combined hardware-software configura.­ tion, are quite capable of implementing advanced mathematical and statistical procedures. Moreover, as these processing techniques become more sophisticated and powerful, the sharper resolution of the resulting system brings into question the classic distributional assumptions of Gaussianity for both noise and signal processes. This in turn opens the door to a fundamental reexamination of structure and inference methods for non-Gaussian sto­ chastic processes together with the application of such processes as models in the context of filtering, estimation, detection and signal extraction. Based on the premise that such a fun­ damental reexamination was timely, in 1981 the Office of Naval Research initiated a research effort in Non-Gaussian Signal Processing under the Selected Research Opportunities Program.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 SeriesComments 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 DensitiesSignal 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 NonGaussian Signal Detection and Channel Capacity
Detection in a Non-Gaussian Environment: Weak and Fading Narrowband Signals
Energy Detection in the Ocean Acoustic Environment