Champaign, IL, United States of America

Jacob Janovetz


Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 69(Granted Patents)


Company Filing History:


Years Active: 2007-2011

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2 patents (USPTO):Explore Patents

Title: Jacob Janovetz: Innovator in High-Speed Decoding Technologies

Introduction

Jacob Janovetz is a notable inventor based in Champaign, IL (US). He has made significant contributions to the field of decoding technologies, holding a total of 2 patents. His work focuses on high-speed maximum likelihood sequence estimation methods and devices, which are crucial for efficient data processing.

Latest Patents

Janovetz's latest patents include a method and apparatus for a delayed recursion decoder. This innovative method involves identifying candidate paths through a state trellis based on a group of observed data. Each candidate path corresponds to a best path through a trellis beginning at one of the possible prior states, along with the corresponding prior data bit or bits. The selection of one of these paths is based on candidate sequence selection information, typically prior state decisions. This path selection ultimately provides decoding of symbols and data bit information, which is essential for selecting one of the candidate paths in subsequent stages.

Career Highlights

Throughout his career, Jacob Janovetz has worked with several prominent companies, including Intersymbol Communications, Inc. and Finisar Corporation. His experience in these organizations has allowed him to refine his skills and contribute to advancements in decoding technologies.

Collaborations

Janovetz has collaborated with notable professionals in his field, including Rajamohana Hegde and Andrew Carl Singer. These collaborations have further enriched his work and expanded the impact of his innovations.

Conclusion

Jacob Janovetz is a distinguished inventor whose contributions to high-speed decoding technologies have made a significant impact in the field. His innovative methods and collaborative efforts continue to influence advancements in data processing.

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