Company Filing History:
Years Active: 2018-2020
Title: Innovations of Yang Yang in Multi-Heterodyne Spectroscopy
Introduction
Yang Yang is an accomplished inventor based in Cambridge, MA (US). He has made significant contributions to the field of spectroscopy, particularly through his innovative patents. With a total of 2 patents, Yang Yang continues to push the boundaries of technology and research.
Latest Patents
One of Yang Yang's latest patents is titled "Computationally-assisted multi-heterodyne spectroscopy." This invention discloses a multi-heterodyne system that includes a first laser source for generating multi-mode radiation characterized by a frequency spectrum with a first plurality of phase coherent frequencies. Additionally, a second laser source generates multi-mode radiation with a frequency spectrum characterized by a second plurality of phase coherent frequencies. The system is equipped with at least one detector that detects a combination of the multi-mode radiation from both laser sources, providing a multi-heterodyne signal with a frequency spectrum characterized by various beat frequencies. Each beat frequency corresponds to a pairwise difference in the first and second plurality of phase coherent frequencies. Furthermore, the system includes an analyzer that employs a predictive model of the multi-heterodyne signal to estimate phase and timing errors associated with the beat frequencies.
Career Highlights
Yang Yang is affiliated with the Massachusetts Institute of Technology, where he conducts his research and development. His work has garnered attention for its innovative approach to spectroscopy and its potential applications in various scientific fields.
Collaborations
Yang Yang collaborates with notable colleagues, including David Burghoff and Qing Hu, who contribute to his research endeavors.
Conclusion
Yang Yang's contributions to the field of multi-heterodyne spectroscopy exemplify the spirit of innovation and research. His patents reflect a commitment to advancing technology and enhancing our understanding of complex systems.