Non-Gaussian Stochastic Processes.

Abstract

The major objectives for this research on non-Gaussian signal processing (NG-SRO) were: (1) statistical characterization and analyses of classes of non-Gaussian stochastic processes for underwater acoustic applications, and (2) development and evaluation of new algorithms for signal detection in a non-Gaussian ocean acoustic environment. Applications of these research efforts were continued under the OSSP program on the development and evaluation of statistical inference procedures for detection of low energy broadband signals in broadband and impulsive noise.

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Document Details

Document Type
Technical Report
Publication Date
Feb 28, 1986
Accession Number
ADA175783

Entities

People

  • Clark S. Perod
  • Frederick W. Machell
  • Glen E. Ellis
  • Melvin Hinich
  • Patrick L. Brockett

Organizations

  • Texas A&M University

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acoustic Propagation
  • Algorithms
  • Broadband
  • Detection
  • Detectors
  • Human Factors Engineering
  • Ocean Surveillance
  • Probability
  • Signal Detection
  • Signal Processing
  • Statistical Inference
  • Statistics
  • Stochastic Processes
  • Surveillance
  • Test And Evaluation
  • Undersea Surveillance
  • Universities

Readers

  • Acoustics.
  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms