Shao-Feng Hung

Title: Innovations of Shao-Feng Hung

Introduction

Shao-Feng Hung is a notable inventor based in Taichung, Taiwan. He has made significant contributions to the field of optical sensing systems through his innovative patents. His work focuses on enhancing the efficiency and performance of angle modulation signals.

Latest Patents

One of his key patents is titled "Periodically resetting integration angle demodulation device and method using the same." This invention introduces a periodically resetting integration angle demodulation device that utilizes a waveform multiplier and a periodically resetting integrator. The device modulates a continuous-time angle modulation signal into a discrete-time signal. The waveform multiplier multiplies the continuous-time angle modulation signal by a square wave signal, which is an integer multiple of the carrier frequency. This process allows the continuous-time angle modulation signal to be transmitted to a periodically resetting integrated circuit. The integrated circuit performs integration during a carrier period, generating a discrete-time angle modulation output signal. This invention significantly reduces the complexity of designing an optical sensing system without limiting modulation depth. It also achieves a compact size, high speed, high sensitivity, high reliability, and excellent adaptability to various conditions.

Career Highlights

Shao-Feng Hung is affiliated with National Yang Ming Chiao Tung University, where he continues to advance his research and development in the field of optical sensing technologies. His work has garnered attention for its practical applications and innovative approaches.

Collaborations

He has collaborated with notable colleagues, including Yun-Tse Chen and Hao-Chiao Hong, contributing to the advancement of technology in their respective fields.

Conclusion

Shao-Feng Hung's contributions to the field of optical sensing through his innovative patents demonstrate his commitment to advancing technology. His work not only simplifies complex systems but also enhances their performance and reliability.