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Switching LMS linear turbo equalization
Seok Jun Lee
,
Andrew C. Singer
,
Naresh R. Shanbhag
Electrical and Computer Engineering
Information Trust Institute
Coordinated Science Lab
Research output
:
Contribution to journal
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Conference article
›
peer-review
Overview
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Dive into the research topics of 'Switching LMS linear turbo equalization'. Together they form a unique fingerprint.
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Keyphrases
Least Mean Square
100%
Turbo Equalization
100%
Equalization Techniques
66%
Soft Information
66%
Detection Method
33%
Adaptive Filter
33%
Least Square Algorithm
33%
Minimum Mean Square Error
33%
Fixed Set
33%
Highly Reliable
33%
Data Detection
33%
Filter Coefficients
33%
Linear Filter
33%
Switching Strategy
33%
Linear Equalization
33%
Maximum-a-posteriori-probability Detection
33%
Computer Science
Least-Mean-Square Algorithm
100%
turbo equalization
100%
Soft Information
66%
Posteriori Probability
33%
Filter Coefficient
33%
Adaptive Filter Design
33%
Data Detection
33%
Output Symbol
33%
Engineering
Least Mean Square
100%
Mean Square Error
33%
Posteriori Probability
33%
Maximum a Posteriori
33%
Filter Coefficient
33%
Adaptive Filter Design
33%
Fixed Set
33%
Switching Strategy
33%
Output Symbol
33%
Linear Filter
33%
Mathematics
Mean Square
100%
Mean Square Error
33%
Posteriori
33%
Fixed Set
33%
Adaptive Filtering
33%
Detection Data
33%
Detection Probability
33%