The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Mar. 10, 2026
Filed:
Aug. 30, 2023
The Regents of the University of California, Oakland, CA (US);
California Institute of Technology, Pasadena, CA (US);
Richard D. Wesel, Manhattan Beach, CA (US);
Linfang Wang, Los Angeles, CA (US);
Sean Chen, Los Angeles, CA (US);
Dariush Divsalar, Pacific Palisades, CA (US);
Jonathan Nguyen, Los Angeles, CA (US);
The Regents of the University of California, Oakland, CA (US);
California Institute of Technology, Pasadena, CA (US);
Abstract
Neural Normalized MinSum (N-NMS) decoding for improving frame error rate (FER) performance on linear block codes over conventional normalized MinSum (NMS). Dynamic multiplicative weights are assigned to each check-to-variable message in each iteration to efficiently provide training parameters of N-NMS that support N-NMS for longer block lengths. Embodiment are described for neural two-dimensional normalized MinSum (N-2D-NMS) decoders requiring fewer training parameters. The N-2D-NMS approaches for example use the same weight for edges with the same check and/or variable node degree. Simulation results indicate that that this LDPC decoding performs similarly to previous techniques while substantially reducing the amount of training necessary.