San Diego, CA, United States of America

Gregory A Burg


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 1997

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1 patent (USPTO):Explore Patents

Title: The Innovations of Gregory A. Burg

Introduction

Gregory A. Burg is an accomplished inventor based in San Diego, CA. He is known for his significant contributions to the field of magnetic data storage. With a focus on enhancing the efficiency of reading magnetically stored data, Burg has made strides in the technology that underpins modern data retrieval systems.

Latest Patents

Burg holds a patent for an "Apparatus for sensing magnetic fields from a wide range of magnetic media." This innovative apparatus is designed for reading magnetically stored data from various types of magnetic media. The technology includes a magnetoresistive (MR) head that generates a signal representative of the stored magnetic data. Additionally, it features a hysteresis comparator circuit that processes signals from high concentration media. The MR head is ideally a paired MR head equipped with a preamplifier circuit, which provides the necessary bias current for the PMR head, amplifies the signal produced, and effectively rejects common mode signals. This patent showcases Burg's expertise in developing advanced technologies for data storage and retrieval.

Career Highlights

Gregory A. Burg has had a notable career, working with Eastman Kodak Company, a leader in imaging and photography technology. His work has contributed to the advancement of magnetic data storage solutions, making significant impacts in the industry.

Collaborations

Burg has collaborated with Frederick Rockwell Chamberlain IV, further enhancing his innovative projects and contributing to the development of cutting-edge technologies in the field.

Conclusion

Gregory A. Burg's contributions to the field of magnetic data storage through his patent and work at Eastman Kodak Company highlight his role as a significant inventor. His innovations continue to influence the way data is read and processed in various applications.

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