Ann Arbor, MI, United States of America

Lu Jie

This inventor holds 1 USPTO granted patent. Top assignee: University of Michigan. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lu Jie. Retrieved from https://idiyas.com/inventor/lu-jie-mf61hgfg

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Lu Jie and the Sub-sampling Phase-Locked Loop

Introduction

Lu Jie is an inventor associated with Ann Arbor, Michigan, and the University of Michigan. Her work includes a patent for a sub-sampling phase-locked loop (SSPLL) with saturated reference feedback.

Latest Patents

The provided information lists one patent for Lu Jie: “Sub-sampling phase locked loop (SSPLL) with saturated reference feedback.” The invention describes a phase-locked loop whose phase detector samples a feedback signal and produces a phase-detection signal. A voltage-controlled oscillator uses that signal to generate an output at a frequency higher than the reference frequency. Feedback circuitry detects an output-signal edge and supplies it as feedback once per reference-signal cycle. The listed patent count is 1 patent.

Career Highlights

The available information associates Lu Jie with the University of Michigan. Her listed patent focuses on phase-locked-loop circuitry and feedback control.

Collaborations

The provided data names Michael P. Flynn and Matthew R. Belz as Lu Jie’s coworkers.

Conclusion

Lu Jie’s listed invention addresses a sub-sampling phase-locked loop design, and the available information connects her work with the University of Michigan and collaborators Michael P. Flynn and Matthew R. Belz.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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