Skip to main navigation
Skip to search
Skip to main content
Princeton University Home
Help & FAQ
Home
Profiles
Research Units
Facilities
Projects
Research output
Search by expertise, name or affiliation
Detection of stochastic signals in non-Gaussian noise
a)
H. Vincent Poor
Electrical and Computer Engineering
High Meadows Environmental Institute
Center for Statistics & Machine Learning
Research output
:
Contribution to journal
›
Article
›
peer-review
2
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Detection of stochastic signals in non-Gaussian noise
a)
'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Arts & Humanities
Statistics
100%
Likelihood Ratio
89%
Approximation
87%
Signal-to-noise Ratio
46%
Equations
26%
Performance
21%
Physics & Astronomy
statistics
89%
likelihood ratio
81%
approximation
44%
detectors
31%
performance
25%
signal to noise ratios
23%