Kaohsiung, Taiwan

Kai-Jie Yang


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2013

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1 patent (USPTO):Explore Patents

Title: Innovations of Kai-Jie Yang in Doppler Frequency Estimation

Introduction

Kai-Jie Yang is a notable inventor based in Kaohsiung, Taiwan. He has made significant contributions to the field of signal processing, particularly with his innovative work on Doppler frequency estimation systems. His expertise and creativity have led to the development of a patented technology that enhances the accuracy of frequency estimation.

Latest Patents

One of Kai-Jie Yang's key patents is the "Doppler frequency estimation system and method." This invention includes a basis projector, a polynomial generator, and an extreme value determinator. The basis projector receives and projects multiple channel sampling signals to a set of orthogonal bases, generating multiple channel correlation vectors. The polynomial generator produces a target polynomial based on these vectors, an estimated channel-envelope-to-noise-plus-interference power-ratio, and a channel-envelope power. Finally, the extreme value determinator determines an extreme value of the polynomial and outputs a frequency corresponding to this extreme value as an estimated Doppler frequency.

Career Highlights

Kai-Jie Yang is currently employed at Sunplus Mmobile Inc., where he continues to innovate and develop advanced technologies. His work has been instrumental in improving the efficiency and effectiveness of various signal processing applications.

Collaborations

Throughout his career, Kai-Jie Yang has collaborated with talented individuals such as Shin-Yuan Wang and Weily Kuo. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Kai-Jie Yang's contributions to the field of Doppler frequency estimation exemplify the impact of innovative thinking in technology. His patented system showcases the potential for advancements in signal processing, and his collaborations further enhance the scope of his work.

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