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Partially Linear Bayesian Estimation Using Mixed-Resolution Data
Itai E. Berman,
Tirza Routtenberg
Department of Electrical & Computer Engineering
Research output
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Contribution to journal
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Article
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peer-review
2
Scopus citations
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Keyphrases
Bayesian Estimation
100%
Mixed Resolution
100%
Linear Minimum Mean Square Error (LMMSE)
100%
Partially Linear Model
100%
Minimum Mean Square Error Estimator
75%
Quantized Measurements
25%
Linear Function
12%
Parameter Estimation
12%
Multiple-input multiple-output Communications
12%
Channel Estimation
12%
Communication Systems
12%
1-bit
12%
Analytic Expression
12%
Analog-to-digital Converter
12%
Quantized Data
12%
Orthonormal
12%
Analog Measurement
12%
Borel Measurable Function
12%
Mathematics
Squared Error
100%
Bayesian Estimation
100%
Data Resolution
100%
Resolution Scheme
25%
Gaussian Distribution
12%
Closed Form
12%
Linear Function
12%
Bayesian
12%
Analytic Expression
12%
Borel Measurable Function
12%
Physics
Gaussian Distribution
100%
MIMO (Control Systems)
100%
Channel Estimation
100%
Engineering
Mean-Squared-Error
100%
Error Estimator
75%
Linear Function
12%
Gaussians
12%
Multiple-Input Multiple-Output
12%
Channel Estimation
12%
Communication System
12%
Closed Form
12%
Analog-to-Digital Converter
12%
Measurable Function
12%