Skip to main navigation
Skip to search
Skip to main content
Princeton University Home
Help & FAQ
Home
Profiles
Research units
Facilities
Projects
Research output
Press/Media
Search by expertise, name or affiliation
Asymptotic Expansions and Rate of Convergence in Signal Detection
Marat V. Bumashev,
H. Vincent Poor
Electrical and Computer Engineering
High Meadows Environmental Institute
Research output
:
Contribution to journal
›
Article
›
peer-review
1
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Asymptotic Expansions and Rate of Convergence in Signal Detection'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Convergence Rate
100%
Asymptotic Expansion
100%
Signal Detection
100%
Error Probability
100%
Asymptotic Rates
100%
Output Distribution
66%
Numerical Results
33%
Identically Distributed
33%
Performance Prediction
33%
Performance Improvement
33%
Sampling numbers
33%
Lower Order Terms
33%
Nonlinearity
33%
Small Sample Size
33%
Detection Problem
33%
Central Limit Theorem
33%
Performance Estimation
33%
Continuous Output
33%
Asymptotic Expression
33%
Relative Efficiency
33%
Absolutely Continuous
33%
Performance Index
33%
Constant Signals
33%
Pitman Asymptotic Relative Efficiency
33%
Mathematics
Probability Theory
100%
Asymptotic Expansion
100%
Asymptotics
33%
Lattices
33%
Lower Order Term
33%
Nonlinearities
33%
Smaller Sample
33%
Asymptotic Relative Efficiency
33%
Relative Efficiency
33%
Central Limit Theorem
33%
Moderate Sample Size
33%