Company Filing History:
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1 out of 1,963 
Years Active: 2004-2008
Title: Innovations of Inventor Meng-Da Yang
Introduction
Meng-Da Yang is a notable inventor based in Miaoli, Taiwan. He has made significant contributions to the field of adaptive decision feedback equalizers, holding a total of 2 patents. His work focuses on enhancing signal processing technologies, which are crucial in various electronic applications.
Latest Patents
One of his latest patents is the "Predicted Parallel Branch Slicer and Slicing Method Thereof." This invention features a predicted parallel branch slicer designed for use in an adaptive decision feedback equalizer. It includes Madders that receive a signal to be processed and perform addition operations to generate output signals. The slicers then process these signals to obtain multiple levels, while a multiplexer selects one of the signals for output based on generated selection signals.
Another significant patent is the "Fast Convergent Pipelined Adaptive Decision Feedback Equalizer Using Post-Cursor Processing Filter." This invention comprises a feed-forward equalizer and a post-cursor processing filter, among other components. It enhances the operating clock rate and improves the convergence rate of the overall system, making it a valuable advancement in signal processing technology.
Career Highlights
Meng-Da Yang has worked with prominent organizations such as the Industrial Technology Research Institute and Via Technologies, Inc. His experience in these companies has allowed him to develop and refine his innovative ideas in the field of electronics and signal processing.
Collaborations
Throughout his career, Meng-Da Yang has collaborated with notable colleagues, including An-Yeu Wu and Murphy Chen. These partnerships have contributed to the successful development of his patents and innovations.
Conclusion
Meng-Da Yang's contributions to the field of adaptive decision feedback equalizers demonstrate his expertise and innovative spirit. His patents reflect a commitment to advancing technology in signal processing, making him a significant figure in his field.