Colorado Springs, CO, United States of America

Coralyn S Gauvin

USPTO Granted Patents = 9 

Average Co-Inventor Count = 1.9

ph-index = 4

Forward Citations = 73(Granted Patents)


Location History:

  • Manito Springs, CO (US) (2010)
  • Manitou Sorings, CO (US) (2014)
  • Colorado Springs, CO (US) (2001 - 2016)

Company Filing History:


Years Active: 2001-2016

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9 patents (USPTO):Explore Patents

Title: The Innovations of Coralyn S Gauvin

Introduction

Coralyn S Gauvin is a notable inventor based in Colorado Springs, CO. She has made significant contributions to the field of data transmission and error classification, holding a total of 9 patents. Her work has been instrumental in advancing technology related to run length limited data.

Latest Patents

One of her latest patents involves classifying bit errors in transmitted run length limited data. In this innovation, a test pattern is encoded using a run length limited line encoding to produce an encoded block of data. This encoded block is then sent via a channel. A plurality of bits in the received block of data, which are subsequent to a maximum length run in the sent data, is compared to an expected plurality of bits. A type of bit error is classified based on a mismatch between the expected plurality of bits and the plurality of bits in the received block of data.

Career Highlights

Throughout her career, Coralyn has worked with prominent companies such as LSI Logic Corporation and LSI Corporation. Her experience in these organizations has allowed her to develop and refine her innovative ideas, contributing to her success as an inventor.

Collaborations

Coralyn has collaborated with several professionals in her field, including Gabriel Leandro Romero and Joy F Godbee. These collaborations have enriched her work and expanded her impact in the industry.

Conclusion

Coralyn S Gauvin's contributions to technology and her innovative patents highlight her role as a significant inventor in the field of data transmission. Her work continues to influence advancements in error classification and data encoding.

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