San Marcos, CA, United States of America

Eric Fogleman

USPTO Granted Patents = 16 

Average Co-Inventor Count = 3.5

ph-index = 4

Forward Citations = 57(Granted Patents)


Location History:

  • Carlsbad, CA (US) (2014)
  • San Marcos, CA (US) (2013 - 2019)

Company Filing History:


Years Active: 2013-2019

Loading Chart...
16 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Eric Fogleman

Introduction

Eric Fogleman is a prominent inventor based in San Marcos, CA. He has made significant contributions to the field of technology, particularly in the area of data conversion and analog-to-digital conversion. With a total of 16 patents to his name, Fogleman continues to push the boundaries of innovation.

Latest Patents

Fogleman's latest patents include a "Method and apparatus for broadband data conversion." This invention describes a receiver that processes multiple sub-bands of a received signal through various receive chains. The technology aims to enhance signal quality by removing undesired signals, such as aliases and harmonics, from the output. Additionally, he has developed a "Method and system for asynchronous successive approximation register (SAR) analog-to-digital converters (ADCs)." This invention utilizes overlapping redundant bits in DAC code words to improve the efficiency and accuracy of the conversion process.

Career Highlights

Fogleman is currently employed at MaxLinear, Inc., where he applies his expertise in developing advanced technologies. His work has been instrumental in creating solutions that address complex challenges in signal processing and data conversion.

Collaborations

Throughout his career, Fogleman has collaborated with talented individuals such as Sheng Ye and Xuefeng Chen. These partnerships have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Eric Fogleman's contributions to the field of technology are noteworthy and impactful. His innovative patents and collaborative efforts continue to shape the future of data conversion and signal processing.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…