Tucson, AZ, United States of America

David Declercq

USPTO Granted Patents = 10 

 

Average Co-Inventor Count = 3.2

ph-index = 3

Forward Citations = 41(Granted Patents)


Location History:

  • Ableiges, FR (2013 - 2020)
  • Tucson, AZ (US) (2020 - 2022)

Company Filing History:


Years Active: 2013-2022

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10 patents (USPTO):Explore Patents

Title: Innovations of David Declercq

Introduction

David Declercq is a prominent inventor based in Tucson, AZ, known for his significant contributions to the field of coding theory and error correction. He holds a total of 10 patents, showcasing his expertise and innovative spirit in developing advanced decoding methods.

Latest Patents

Among his latest patents is a method and apparatus for vertical layered decoding of quasi-cyclic low-density parity check codes using predictive magnitude maps. This invention enhances the efficiency of the check node update process by utilizing additional magnitudes predicted with predictive magnitude maps. The method effectively reduces computational complexity and storage requirements in processing units during the check node update. Another notable patent is the vertical layered finite alphabet iterative decoding, which presents a method for decoding low-density parity-check codes that operate on parity check matrices consisting of blocks of sub-matrices. This invention allows for high throughput with minimal hardware resource usage and power consumption.

Career Highlights

David has worked with notable companies such as Codelucida, Inc. and STMicroelectronics. His experience in these organizations has contributed to his development of innovative solutions in coding and decoding technologies.

Collaborations

Throughout his career, David has collaborated with talented individuals, including Benedict J Reynwar and Shiva Kumar Planjery. These partnerships have fostered a creative environment that has led to groundbreaking advancements in his field.

Conclusion

David Declercq's work exemplifies the spirit of innovation in the realm of coding theory. His patents and collaborations reflect his commitment to advancing technology and improving error correction methods.

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