Ying G Tao

Title: The Innovations of Ying G Tao

Introduction

Ying G Tao is a notable inventor based in Old Bridge, NJ (US). He has made significant contributions to the field of adaptive filtering, which is crucial in various signal processing applications. His innovative approach has led to the development of a unique patent that enhances filter stability and convergence.

Latest Patents

Ying G Tao holds a patent for an invention titled "Adaptive filter update normalization." This patent focuses on employing loop gain normalization in adaptive filters to control the weighting of filter characteristic updates. The goal is to ensure proper convergence to a desired filter characteristic. By utilizing both long-term and fast attack estimates of an input signal characteristic, the update gain is normalized effectively. In this method, the fast attack estimate is modified by a predetermined value, and the larger of the long-term estimate and the modified fast attack estimate is selected to normalize the update gain. This innovative approach allows for rapid high-quality convergence for a variety of received signals.

Career Highlights

Ying G Tao has had a distinguished career at AT&T Bell Laboratories, where he has been involved in groundbreaking research and development in signal processing technologies. His work has significantly impacted the field, particularly in enhancing the performance of adaptive filters.

Collaborations

Throughout his career, Ying G Tao has collaborated with esteemed colleagues, including Donald Lars Duttweiler and Charles W Gritton. These collaborations have fostered an environment of innovation and have contributed to the advancement of technology in their respective fields.

Conclusion

Ying G Tao's contributions to adaptive filtering through his patent and work at AT&T Bell Laboratories highlight his role as a significant inventor in the field. His innovative methods continue to influence advancements in signal processing technologies.