Bainbridge Island, WA, United States of America

Matthew Zimmer


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovations of Matthew Zimmer

Introduction

Matthew Zimmer is an accomplished inventor based in Bainbridge Island, Washington. He has made significant contributions to the field of signal processing, particularly through his innovative patent related to high pass filters. His work is characterized by a focus on enhancing the accuracy and efficiency of signal data analysis.

Latest Patents

Zimmer holds a patent for "Dynamic decay compensation for first order high pass filters." This invention presents techniques for compensating signal data from first order high pass filters for exponential decay. The goal is to extract an underlying step function associated with the signal data. The techniques involve adjusting the time scale of the signal data using a charge amplifier. Additionally, they include determining a dynamic neutral point for the signal data using an exponential decay function. Furthermore, the techniques apply an inverse transfer function to remove decay from the signal data, ultimately generating a step function associated with the signal data.

Career Highlights

Matthew Zimmer is currently employed at Amazon Technologies, Inc., where he continues to develop and refine his innovative ideas. His work at Amazon has allowed him to collaborate with other talented professionals in the field, contributing to advancements in technology and signal processing.

Collaborations

Zimmer has worked alongside notable colleagues, including Alexander Eugene Choi and Jacob Drewniak. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

Matthew Zimmer's contributions to the field of signal processing through his innovative patent demonstrate his expertise and commitment to advancing technology. His work not only enhances the understanding of signal data but also paves the way for future innovations in the industry.

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