Journal article
Suboptimum detection of weak signals in non-Gaussian noise (Corresp.)
IEEE transactions on information theory, v 29(3), pp 462-466
May 1983
Abstract
A suboptimum detector structure is developed for the detection of weak signals in non-Gaussian noise. In contrast to locally optimum detectors, the suboptimum detector structure is relatively easy to implement and is shown to perform well for a wide range of underlying noise distributions. The robustness of simple limiter detectors is discussed. The extension of the concept of a suboptimum detector to an adaptive detector for operating in an unknown noise environment is also discussed.
Metrics
Details
- Title
- Suboptimum detection of weak signals in non-Gaussian noise (Corresp.)
- Creators
- N LuB Eisenstein
- Publication Details
- IEEE transactions on information theory, v 29(3), pp 462-466
- Publisher
- IEEE
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:A1983QP14800030
- Scopus ID
- 2-s2.0-0020750930
- Other Identifier
- 991019174150104721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic
- Mathematics, Applied