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Reduced-rank STAR performance analysis
C. D. Peckham
,
A. M. Haimovich
, T. F. Ayoub
, J. S. Goldstein
, I. S. Reed
Electrical and Computer Engineering
The Elisha Yegal Bar-Ness Center for Wireless Information Processing
Research output
:
Contribution to journal
›
Article
›
peer-review
114
Scopus citations
Overview
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Dive into the research topics of 'Reduced-rank STAR performance analysis'. Together they form a unique fingerprint.
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Engineering
Covariance Matrix
100%
Fixed Transforms
100%
Full Rank Space
50%
Main Advantage
50%
Performance Analysis
100%
Processing Technology
50%
Real Data
50%
Signal-to-Noise Ratio
100%
Space-Time Adaptive Processing
100%
Computer Science
Covariance Matrix
100%
Discrete Cosine Transform
50%
Fixed Transforms
100%
Noise-to-Signal Ratio
100%
Performance Analysis
100%
Space-Time Adaptive Processing
100%
Time-Space-Time
50%
Keyphrases
Analysis Simulation
16%
Computational Procedures
16%
Data Dependency
16%
Discrete Cosine Transform
16%
Full Rank
16%
Low-rank Property
16%
Opposite Effects
16%
Performance Analysis
100%
Performance Improvement
16%
Processing Technology
16%
Rank Transform
16%
Reduced Rank
100%
Signal-to-noise Ratio
33%
Space-time Adaptive Processing
33%
Space-time Covariance Matrix
33%
Statistical Stability
16%
Physics
Covariance
100%
Discrete Cosine Transform
50%
Signal-to-Noise Ratio
100%
Space-Time Adaptive Processing
100%
Mathematics
Covariance Matrix
66%
Dependent Data
33%
Discrete Cosine Transform
33%
Noise Ratio
66%
Rank Method
100%
Real Data
33%