This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Institute for Information Industry. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Ping-Chun Chen: Innovator in RF Fingerprint Signal Processing
Introduction
Ping-Chun Chen is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of signal processing, particularly in the development of RF fingerprint technology. His innovative work has the potential to enhance various applications in wireless communication and security.
Latest Patents
Ping-Chun Chen holds a patent for an RF fingerprint signal processing device and method. This device is designed to execute a machine learning algorithm on multiple input signals. The RF fingerprint signal processing device comprises a receiver-feature determination circuit and a classifying determination circuit. The receiver-feature determination circuit computes on the input signals using a neural network. The classifying determination circuit is connected to the receiver-feature determination circuit and provides feedback information regarding the receiver-feature component. This feedback allows the receiver-feature determination circuit to adjust the receiver-feature weight within the neural network, ultimately improving the output value computation.
Career Highlights
Ping-Chun Chen is affiliated with the Institute for Information Industry, where he continues to advance his research and development efforts. His work focuses on integrating machine learning with RF signal processing, which is crucial for modern communication systems.
Collaborations
He collaborates with talented colleagues, including Ting-Yu Lin and Chia-Min Lai, who contribute to his research initiatives and projects.
Conclusion
Ping-Chun Chen's innovative contributions to RF fingerprint signal processing exemplify the intersection of technology and machine learning. His work not only advances the field but also opens new avenues for future research and applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
