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Unknown Signal Detection in Switching Linear Dynamical System Noise
Gabriel Ford
, Benjamin J. Foster
, Stephen A. Braun
,
Moshe Kam
Electrical and Computer Engineering
Office of the Dean - NCE
Research output
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Contribution to journal
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Article
›
peer-review
7
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Scopus citations
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Dive into the research topics of 'Unknown Signal Detection in Switching Linear Dynamical System Noise'. Together they form a unique fingerprint.
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Engineering
Transmissions
100%
Signal Detection
100%
Computer Simulation
50%
Test Statistic
50%
Simulation Result
50%
Dirichlet
50%
Experimental Result
50%
Cognitive Radio
50%
Learning Approach
50%
False Alarm Rate
50%
False Alarm
50%
Test Data
50%
Detection Scheme
50%
Secondary User
50%
Detection Threshold
50%
Generalized Likelihood Ratio Test
50%
Interfering Signal
50%
Software Defined Radio
50%
Switching State
50%
Application Monitoring
50%
Energy Detector
50%
Keyphrases
System Noise
100%
Unknown Signal Detection
100%
Switching Linear Dynamical Systems
100%
False Alarm Rate
33%
Unknown Signal
33%
Viterbi
33%
Spectrum Sharing
16%
Numerical Simulation
16%
Test Statistic
16%
Noise Background
16%
Machine Learning Approach
16%
Detection Method
16%
Cognitive Radio
16%
Software Defined Radio
16%
System Detection
16%
Detection Threshold
16%
Detection Scheme
16%
Noisy Environment
16%
Secondary User
16%
Compliance Behavior
16%
Switching States
16%
Generalized Likelihood Ratio Test
16%
Interfering Signals
16%
Interference Environment
16%
Complicated Background
16%
Likelihood Test
16%
Monitoring Applications
16%
Bayesian Nonparametrics
16%
Energy Detector
16%
Anomalous Signal
16%
Signaling Environment
16%
Deterministic Signal
16%
Spectrum Monitoring
16%
Hierarchical Dirichlet Process
16%
Standard Energy
16%
Asymptotic Upper Bound
16%
RF Spectrum
16%
Typical Behavior
16%
HMM-based
16%
Computer Science
Dynamical System
100%
Signal Detection
100%
Testbed
16%
spectrum sharing
16%
Numerical Simulation
16%
Experimental Result
16%
Cognitive Radio
16%
False Alarm Rate
16%
Detection Threshold
16%
Secondary User
16%
Background Noise
16%
software-defined radio
16%
Monitoring Application
16%
Machine Learning Approach
16%
Interfering Signal
16%
Dirichlet Process
16%
generalized likelihood-ratio test
16%
Spectrum Monitoring
16%
Deterministic Signal
16%
Switching State
16%