Beijing, China

Sudi Xu


Average Co-Inventor Count = 3.3

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2021-2022

Loading Chart...
8 patents (USPTO):Explore Patents

Title: Innovations of Sudi Xu in Resampling Techniques

Introduction

Sudi Xu is a prominent inventor based in Beijing, China. He has made significant contributions to the field of signal processing, particularly in resampling techniques. With a total of 8 patents to his name, his work has advanced the capabilities of broadband frequency measurement devices.

Latest Patents

Sudi Xu's latest patents include a resampling technique for arbitrary sampling rate conversion. This method utilizes a window function for flexible sampling rate conversion in broadband frequency measurement devices. The resampling algorithm is designed to meet the requirements of various sampling rates. The frequency responses of the filter in the resampling model, based on the Farrow structure, are thoroughly analyzed. Additionally, the design criteria for the filter in the resampling model are considered. A fractional delay filter design model based on the window function method is also described. This includes the construction of a fractional delay filter matrix expressed in polynomial form. The expression related to subfilter coefficients is obtained, and these coefficients are solved for using the least square method.

Career Highlights

Sudi Xu is affiliated with North China Electric Power University, where he continues to engage in innovative research and development. His work has not only contributed to academic knowledge but has also practical applications in the industry.

Collaborations

Sudi Xu collaborates with notable colleagues such as Hao Liu and Tianshu Bi. Their combined expertise enhances the research output and innovation potential within their projects.

Conclusion

Sudi Xu's contributions to resampling techniques demonstrate his commitment to advancing technology in signal processing. His innovative patents reflect a deep understanding of the complexities involved in broadband frequency measurement.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…