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LDPC Minsum Decoder With Neural-Network-Optimized Degree-Specific Weights (Case No. 2021-239)

SUMMARY: UCLA researchers in the Department of Electrical and Computer Engineering have developed a neural network-based approach to decode Low Density Parity Codes (LDPCs) that is capable of accurately transmitting large bit number data faster and with a lower frame rate error that conventional approaches. BACKGROUND: The transmission of data at...

Published: 11/15/2024 | Inventor(s): Richard Wesel, Linfang Wang, Sean Chen, Dariush Divsalar, Jonathan Nguyen

Keywords(s): Algorithm, Artificial Neural Network, Data Recovery, Error Detection And Correction, Information Theory, Low-Density Parity-Check Code, Parity-Check Matrix, Software & Algorithms, Telecommunication

Category(s): Software & Algorithms > Communication & Networking, Software & Algorithms, Electrical > Signal Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Electrical > Wireless, Software & Algorithms > Programs