TY - JOUR
T1 - Detection of non-Gaussian signals
T2 - a paradigm for modern statistical signal processing
AU - Garth, Lee M.
AU - Poor, H. Vincent
N1 - Funding Information:
Manuscript received August 24, 1993; revised April 1, 1994. This work was supported by NOSC under Contract N66001-90-C-7004 under the Small Business Innovation Research Program, with Dr. C. Persons of NOSC as COTR and with funding from the Office of Naval Research. L. M. Garth is with Techno-Sciences, Inc., Urbana, IL 61801 USA. H. V. Poor is with the Department of Electrical Engineering, Princeton University, Princeton, NJ 08544 USA. IEEE Log Number 9401812.
PY - 1994
Y1 - 1994
N2 - Non-Gaussian signals arise in a wide variety of applications, including sonar, digital communications, seismology, and radio astronomy. In this tutorial overview, a hierarchical approach to signal modeling and detector design for non-Gaussian signals is described. In addition to being of interest in applications, this problem serves as a paradigm within which most of the areas of active research in statistical signal processing arise. In particular, the methodologies of nonlinear signal processing, higher order statistical analysis, signal representations, and learning algorithms, all can be juxtaposed quite naturally in this framework.
AB - Non-Gaussian signals arise in a wide variety of applications, including sonar, digital communications, seismology, and radio astronomy. In this tutorial overview, a hierarchical approach to signal modeling and detector design for non-Gaussian signals is described. In addition to being of interest in applications, this problem serves as a paradigm within which most of the areas of active research in statistical signal processing arise. In particular, the methodologies of nonlinear signal processing, higher order statistical analysis, signal representations, and learning algorithms, all can be juxtaposed quite naturally in this framework.
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U2 - 10.1109/5.293163
DO - 10.1109/5.293163
M3 - Article
AN - SCOPUS:0028467324
SN - 0018-9219
VL - 82
SP - 1061
EP - 1095
JO - Proceedings of the IEEE
JF - Proceedings of the IEEE
IS - 7
ER -