Company Filing History:
2 out of 74 
2 out of 368 
Years Active: 2024-2025
Title: Thomas Fuja: Innovator in Min-Sum Algorithms
Introduction
Thomas Fuja is a notable inventor based in South Bend, IN (US). He has made significant contributions to the field of low-density parity-check decoders, particularly through his innovative algorithms. With a total of 2 patents, Fuja's work has the potential to enhance error correction in various applications.
Latest Patents
Fuja's latest patents include a threshold-based min-sum algorithm designed to lower the error floors of quantized low-density parity-check decoders. This modified version of the min-sum algorithm (MSA) aims to improve the performance of quantized LDPC decoders. The algorithm introduces a threshold attenuated min-sum algorithm (TAMSA) and/or a threshold offset min-sum algorithm (TOMSA). These algorithms selectively attenuate or offset a check node log-likelihood ratio (LLR) when the check node receives any variable node LLR with a magnitude below a predetermined threshold. This allows the check node LLR to reach the maximum quantizer level if all variable node LLRs received have magnitudes greater than the threshold. The embodiments of this invention can yield desirable results even without prior knowledge of the location, type, or multiplicity of such objects, and can be implemented with only minor modifications to existing decoder hardware.
Career Highlights
Throughout his career, Thomas Fuja has worked with reputable organizations such as Arrowhead Center, Inc. and the University of Notre Dame Du Lac. His experience in these institutions has contributed to his expertise in the field of error correction algorithms.
Collaborations
Fuja has collaborated with notable individuals in his field, including Homayoon Hatami and David G Mitchell. These collaborations have likely enriched his research and development efforts.
Conclusion
Thomas Fuja's contributions to the development of threshold-based min-sum algorithms represent a significant advancement in the field of low-density parity-check decoders. His innovative work continues to influence the landscape of error correction technology.