Keyang Ru

Title: Keyang Ru - Innovator in Frequency Domain Resampling

Introduction

Keyang Ru is an accomplished inventor based in Kirkland, WA (US). He has made significant contributions to the field of signal processing, particularly in the area of frequency domain resampling of time series signals. His innovative approach has the potential to enhance the accuracy and efficiency of data analysis in various applications.

Latest Patents

Keyang Ru holds a patent for a method that involves frequency-domain resampling of time series signals. This patent describes systems, methods, and other embodiments associated with the resampling process. An example method includes generating a power spectrum for a first time series signal that is sampled inconsistently with a target sampling rate. Prominent frequencies are selected from the power spectrum, and sets of first phase factors are generated to map these frequencies to a frequency domain at first time points. Coefficients are identified that relate the sets of first phase factors to values of the first time series signal at the first time points. Additionally, sets of second phase factors are generated to map the prominent frequencies to a frequency domain at second time points. A second time series signal that is resampled at the target sampling rate is then generated by creating new values at the second time points from the coefficients and sets of second phase factors.

Career Highlights

Keyang Ru is currently employed at Oracle International Corporation, where he continues to work on innovative solutions in signal processing. His expertise in the field has allowed him to contribute to various projects that aim to improve data handling and analysis.

Collaborations

Keyang has collaborated with notable colleagues, including Ruixian Liu and Kenny C Gross. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies.

Conclusion

Keyang Ru's work in frequency domain resampling represents a significant advancement in the field of signal processing. His contributions not only enhance the understanding of time series signals but also pave the way for future innovations in data analysis.