Topics in Non-Gaussian Signal Processing

  • Edward J. Wegman
  • Stuart C. Schwartz
  • John B. Thomas

Table of contents

  1. Front Matter
    Pages i-xii
  2. Modeling and Characterization

    1. Front Matter
      Pages 1-1
    2. Patrick L. Brockett, Melvin Hinich, Gary R. Wilson
      Pages 2-16
    3. Dennis R. Powell, Gary R. Wilson
      Pages 17-28
    4. Fredrick W. Machell, Clark S. Penrod, Glen E. Ellis
      Pages 29-57
    5. R. R. Mohler, W. J. Kolodziej
      Pages 58-72
  3. Filtering, Estimation and Regression

  4. Detection and Signal Extraction

    1. Front Matter
      Pages 148-148
    2. D. W. Tufts, I. P. Kirsteins, P. F. Swaszek, A. J. Efron, C. D. Melissinos
      Pages 184-196
    3. Stuart C. Schwartz, John B. Thomas
      Pages 209-227
    4. Fredrick W. Machell, Clark S. Penrod
      Pages 228-235

About this book


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.


Signal detection filter filtering filters modeling signal processing

Editors and affiliations

  • Edward J. Wegman
    • 1
  • Stuart C. Schwartz
    • 2
  • John B. Thomas
    • 2
  1. 1.Center for Computational Statistics and ProbabilityGeorge Mason UniversityFairfaxUSA
  2. 2.Department of Electrical EngineeringPrinceton UniversityPrincetonUSA

Bibliographic information