Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Press/Media
Datasets
Activities
Fellowships, Honors, and Prizes
Search by expertise, name or affiliation
PERFORMANCE OF NARROWBAND SIGNAL-SUBSPACE PROCESSING.
H. Wang,
M. Kaveh
Administration (CSENG)
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'PERFORMANCE OF NARROWBAND SIGNAL-SUBSPACE PROCESSING.'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Signal Subspace
100%
Narrowband Signal
100%
Number of Sources
66%
Signal-to-noise
33%
Performance Measures
33%
Scalar
33%
Signal-to-noise Ratio
33%
Analytical Evaluation
33%
Signal Parameters
33%
Performance Estimation
33%
Performance Thresholds
33%
Spatially-white Noise
33%
Asymptotic Condition
33%
Penalty Function
33%
Source Direction
33%
Noise Parameters
33%
Array Parameters
33%
Threshold Region
33%
Closely Spaced Sources
33%
Computer Science
Signal Subspace
100%
Performance Measure
33%
Noise-to-Signal Ratio
33%
Threshold Region
33%
Source Direction
33%
Estimation Performance
33%
Signal Parameter
33%
Penalty Function
33%
Engineering
Signal-to-Noise Ratio
100%
Performance Measure ψ
100%
Penalty Function
100%
Nursing and Health Professions
Signal Noise Ratio
100%
Biochemistry, Genetics and Molecular Biology
Signal Noise Ratio
100%