This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Chongqing University of Posts and Telecommunications. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Innovations of Hong Yang in LDPC Decoder Systems
Introduction
Hong Yang is a prominent inventor based in Chongqing, China. He has made significant contributions to the field of decoder hardware design, particularly through his innovative patent related to layered semi-parallel LDPC decoder systems.
Latest Patents
Hong Yang holds a patent for a "Layered semi-parallel LDPC decoder system having a single permutation network." This invention pertains to a layered semi-parallel LDPC decoder system that utilizes a single permutation network. The system features a layered decoding architecture, a semi-parallel decoding structure, and a pipeline design that enhances the efficiency of the decoding process. By modifying the cyclic shift value of information blocks, the invention eliminates the need for a separate permutation network module, thereby reducing hardware resources significantly. The semi-parallel structure achieves a throughput that is three-quarters of that of a full-parallel structure while halving the required hardware resources.
Career Highlights
Hong Yang is affiliated with the Chongqing University of Posts and Telecommunications, where he continues to advance research in decoder systems. His work has garnered attention for its practical applications in improving decoding efficiency and resource management in hardware design.
Collaborations
Hong Yang has collaborated with notable colleagues, including Hongsheng Zhang and Taiyun Ding, contributing to the advancement of technology in their field.
Conclusion
Hong Yang's innovative work in layered semi-parallel LDPC decoder systems exemplifies the potential for advancements in decoder hardware design. His contributions not only enhance decoding efficiency but also optimize resource utilization in hardware systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile