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Data-Driven Factor Graphs for Deep Symbol Detection
Nir Shlezinger
, Nariman Farsad
, Yonina C. Eldar
,
Andrea J. Goldsmith
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
41
Scopus citations
Overview
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Dive into the research topics of 'Data-Driven Factor Graphs for Deep Symbol Detection'. Together they form a unique fingerprint.
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Keyphrases
BCJR Algorithm
33%
Channel Model
16%
Conventional Channel
16%
Factor Graph
100%
Finite Memory
16%
Full Knowledge
16%
Graphical Method
33%
Graphical Models
16%
Kalman Filter
16%
Labeled Data
16%
Limited Training Data
16%
Machine Learning System
33%
Memory Channel
16%
Message Passing
33%
Modeling Algorithm
16%
Overall System
16%
Receiver Operating
16%
Signal Communication
16%
Signal Processing
16%
Statistical Model
16%
Symbol Detection
100%
Uncertainty Levels
16%
Engineering
Broad Range
100%
Channel Model
100%
Kalman Filter
100%
Recursive
100%
Statistical Model
100%
Tasks
100%
Computer Science
factor graph
100%
Graphical Model
16%
Kalman Filter
16%
Machine Learning
33%
Message Passing
33%
Statistical Model
16%