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2D regression channel estimation for equalizing OFDM signals
Ming-Xian Chang
, Yu T. Su
Department of Electrical Engineering
Research output
:
Contribution to journal
›
Conference article
›
peer-review
14
Citations (Scopus)
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Dive into the research topics of '2D regression channel estimation for equalizing OFDM signals'. Together they form a unique fingerprint.
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Keyphrases
Orthogonal Frequency Division multiplexing Signal
100%
Channel Estimation
100%
Channel Estimate
100%
Two Dimensional
50%
Bit Error Probability
50%
Bit Error Rate
50%
Rate Expression
50%
Additive White Gaussian Noise
50%
Orthogonal Frequency Division multiplexing
50%
Estimation Method
50%
Channel Response
50%
Fading Process
50%
Channel Statistics
50%
Linear Minimum Mean Square Error (LMMSE)
50%
Error Channel
50%
Channel Correlation Matrix
50%
Nonlinear Regression Method
50%
Engineering
Orthogonal Frequency Division Multiplexing
100%
Channel Estimation
100%
Two Dimensional
33%
Bit Error
33%
Frequency Domain
33%
Bit Error Rate
33%
Time Domain
33%
Additive White Gaussian Noise
33%
Rate Expression
33%
Mean-Squared-Error
33%
Channel Response
33%
Channel Correlation Matrix
33%
Nonlinear Regression
33%