Company Filing History:
Years Active: 2002-2003
Title: The Innovations of Sheng-Jen Tsai
Introduction
Sheng-Jen Tsai is a notable inventor based in Bridgewater, NJ (US). He has made significant contributions to the field of wireless communication, holding a total of 6 patents. His work focuses on improving the efficiency and accuracy of signal processing techniques.
Latest Patents
One of his latest patents is titled "Sample timing control for demodulation of phase-modulated signals." This invention addresses the demodulation of phase-modulated signals, such as quadrature phase-shift-keyed (QPSK) signals, in wireless communication systems. The method involves separating the phase-modulated signal into two portions, where one is phase demodulated to generate symbols, and the other is frequency demodulated to measure the instantaneous frequency. This process helps in establishing sample timing for proper symbol sampling.
Another significant patent is the "Method and apparatus for frequency offset compensation." This invention provides a simplified method for estimating frequency offset in a TDMA cellular PCS environment using π/4-shifted DQPSK. The method includes multiplying a complex conjugate of a received symbol with a succeeding symbol to create a comparison vector. The angle of this vector is then adjusted to estimate the frequency offset accurately.
Career Highlights
Sheng-Jen Tsai has worked with prominent companies in the technology sector, including Lucent Technologies Inc. and Agere Systems Inc. His experience in these organizations has contributed to his expertise in wireless communication technologies.
Collaborations
Throughout his career, Tsai has collaborated with talented individuals such as Alex Matusevich and Mohsen Sarraf. These collaborations have likely enriched his work and led to innovative solutions in the field.
Conclusion
Sheng-Jen Tsai's contributions to wireless communication through his patents and collaborations highlight his role as a significant inventor in the industry. His innovative approaches continue to influence advancements in signal processing techniques.