Company Filing History:
Years Active: 2010
Title: **Stan W Driggs: Innovator in Robust Signal Processing**
Introduction
Stan W Driggs is a notable inventor based in Vestal, NY, recognized for his contributions to the field of signal processing. With one patent to his name, Driggs has developed innovative systems and methods that enhance the robustness of signal deinterleaving, a critical aspect of modern communications.
Latest Patents
Driggs holds a patent titled "Robust Pulse Deinterleaving." This invention focuses on associating time slices of a received signal with previously encountered time slices. A parameter determination component within his system identifies at least one parameter for each received time slice. Additionally, a content addressable memory stores a variety of parameter values linked to these encountered time slices. This memory is searchable, enabling the comparison of determined parameters to provide effective matching through an emitter matching component. This innovation significantly advances how signals are processed and interpreted.
Career Highlights
Stan W Driggs has made significant strides in his career while working at Lockheed Martin Corporation, a company renowned for its focus on aerospace and defense technologies. His professional journey demonstrates a commitment to innovation and technological advancement in his field.
Collaborations
Throughout his career, Driggs has collaborated with esteemed colleagues, including Thomas J Eckenrode and Walter S Richter. These collaborations highlight the importance of teamwork in the innovation process, fostering an environment for the development of cutting-edge technologies.
Conclusion
Stan W Driggs stands out as a prolific inventor in the realm of signal processing. His patented work on robust pulse deinterleaving showcases his profound impact on the field, emphasizing the significance of creativity and collaboration in advancing technology. As part of the ongoing evolution of communications systems, Driggs’ contributions will undoubtedly influence future innovations in signal processing.