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Activity detection in a multi-user environment
U. Mitra
,
H. Vincent Poor
Electrical and Computer Engineering
High Meadows Environmental Institute
Center for Statistics & Machine Learning
Research output
:
Contribution to journal
›
Article
›
peer-review
17
Scopus citations
Overview
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Dive into the research topics of 'Activity detection in a multi-user environment'. Together they form a unique fingerprint.
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Engineering
Code Division Multiple Access
33%
Correlator
100%
Linear Operator
33%
Linear Transformation
33%
Multiple Access
66%
Multiuser
100%
Noise Process
33%
Non-Gaussian Noise
33%
Signal Detection
33%
Signal Vector
33%
Test Statistic
33%
Keyphrases
Activity Detection
100%
Additive Channel Noise
50%
Cross-correlator
50%
Hybrid Detectors
50%
Computer Science
Detector Structure
50%
Linear Operator
50%
Non-Gaussian Noise
50%