Sean P Meyn

Title: Innovations of Sean P Meyn

Introduction

Sean P Meyn is a notable inventor based in Gainesville, FL (US). He has made significant contributions to the field of signal processing and dynamic systems. His work focuses on developing advanced methods for estimating conditional probability distributions in non-linear random dynamic processes.

Latest Patents

One of Sean P Meyn's key patents is titled "Feedback-based particle filtering - Methods for estimating a conditional probability distribution for signal states of a non-linear random dynamic process." This innovative filter utilizes multiple particles, each defined by a state space model that mirrors the dynamic process. Each particle is updated based on a control input derived from proportional gain feedback on an innovation process. The innovation process represents the difference between an increment in an observed quantity measured by one or more sensors and an average function of the particles. This particle filter can also address filtering problems with data association uncertainty, where multiple measurements are obtained, with at most one originating from a specified target. He holds 1 patent.

Career Highlights

Sean P Meyn is affiliated with the University of Illinois, where he contributes to research and development in his field. His academic background and expertise have positioned him as a valuable asset in the realm of signal processing and dynamic systems.

Collaborations

Throughout his career, Sean has collaborated with esteemed colleagues such as Prashant G Mehta and Tao Yang. These partnerships have fostered innovation and advancement in their shared research interests.

Conclusion

Sean P Meyn's contributions to the field of signal processing through his innovative patent demonstrate his commitment to advancing technology. His work continues to influence the development of methods for dynamic systems and probability estimation.