This inventor holds 1 USPTO granted patent. Top assignee: C & S Technology Co., Ltd.. Active years: 2008.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2008
Title: Innovations of Won Il Lee
Introduction
Won Il Lee is a notable inventor based in Kyungki-do, South Korea. He has made significant contributions to the field of speech encoding technology. His innovative approach has led to the development of a unique high-speed search method that enhances the efficiency of speech encoders.
Latest Patents
Won Il Lee holds a patent for a "High-speed search method for LSP quantizer using split VQ and fixed codebook of G.729 speech encoder." This invention focuses on a high-speed search method in a speech encoder that utilizes the order character of LSP (Line Spectrum Pair) parameters. The method employs Split Vector Quantization (SVQ) in low-speed transmission speech encoders. It includes steps for rearranging a codebook based on the element value of a reference row, determining a search range, and obtaining an optimal code vector. This innovation effectively reduces computational complexity while maintaining signal quality during the quantization of LSP parameters.
Career Highlights
Won Il Lee is associated with C & S Technology Co., Ltd., where he continues to work on advancements in speech encoding technology. His expertise in this area has positioned him as a valuable asset to his company and the industry.
Collaborations
He has collaborated with notable coworkers, including Sang Won Kang and Chang Yong Son, contributing to various projects and innovations in their field.
Conclusion
Won Il Lee's contributions to speech encoding technology through his innovative patent demonstrate his commitment to enhancing communication systems. His work continues to influence advancements in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile