Skip to main navigation
Skip to search
Skip to main content
Princeton University Home
Help & FAQ
Home
Profiles
Research units
Facilities
Projects
Research output
Press/Media
Search by expertise, name or affiliation
Neural network detection of data sequences in communication systems
Nariman Farsad,
Andrea Goldsmith
Research output
:
Contribution to journal
›
Article
›
peer-review
309
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Neural network detection of data sequences in communication systems'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Engineering
Communication System
100%
Channel Model
100%
Data Sequence
100%
Recurrent Neural Network
80%
Channel State Information
40%
Bit Error Rate
20%
Neural Network Architecture
20%
Coherence Time
20%
Deep Learning
20%
Channel Condition
20%
Send Data
20%
Symbol Duration
20%
Computer Science
Neural Network
100%
Recurrent Neural Network
100%
Channel State Information
50%
Neural Network Architecture
25%
Detection Method
25%
Channel Condition
25%
Deep Learning
25%
Symbol Duration
25%
Keyphrases
Neural Network Detection
100%
Bidirectional Recurrent Neural Network
80%
Neural Network Detector
40%
Viterbi Detector
20%
Physics
Neural Network
100%
Coherence
14%
Bit Error Rate
14%
Deep Learning
14%