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Adaptive equalization via Kalman filtering techniques
Steve McLaughlin
School of Engineering & Physical Sciences
Institute of Sensors, Signals & Systems
Research output
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Contribution to journal
›
Article
›
peer-review
16
Citations (Scopus)
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INIS
algorithms
100%
feedback
100%
performance
100%
data
50%
filters
50%
comparative evaluations
50%
weight
50%
errors
50%
Engineering
Equalizers
100%
Filtration
100%
Least Mean Square
33%
Mean-Squared-Error
33%
Error Performance
33%
Decision Feedback Equalizers
33%
Channel Estimation
33%
Kalman Filter
33%