Location History:
- Heriot, GB (2009 - 2011)
- Midlothian, GB (2011)
- Lauder, GB (2012 - 2015)
Company Filing History:
Years Active: 2009-2015
Title: David I Lawrie: Innovator in Data Encoding Technologies
Introduction
David I Lawrie is a prominent inventor based in Lauder, GB. He has made significant contributions to the field of data encoding technologies, holding a total of 9 patents. His work focuses on improving the efficiency and reliability of data transmission through innovative encoding methods.
Latest Patents
Among his latest patents, Lawrie has developed a "Circuit for forward error correction encoding of data blocks." This invention discloses approaches for encoding N symbols of a sequence in parallel using an R parity symbol encoding algorithm. The process involves adding a first symbol matrix to a first parity matrix over a finite field to produce a first intermediate matrix. This matrix is then multiplied by coefficient matrices to generate further intermediate matrices, ultimately leading to a revised parity matrix.
Another notable patent is the "Pipelined turbo convolution code decoder." In this embodiment, a method of block decoding is provided, where multiple decoding iterations are performed using a circular pipeline of processing stages. Each stage executes soft-input-soft-output (SISO) decoding operations on data blocks, enhancing the efficiency of the decoding process.
Career Highlights
David I Lawrie is currently employed at Xilinx, Inc., where he continues to innovate in the field of data encoding. His work has been instrumental in advancing technologies that support high-speed data communication and error correction.
Collaborations
Throughout his career, Lawrie has collaborated with notable colleagues, including Colin Stirling and David Andrews. These partnerships have fostered a creative environment that has led to the development of groundbreaking technologies.
Conclusion
David I Lawrie's contributions to data encoding technologies exemplify his commitment to innovation. His patents reflect a deep understanding of complex data transmission challenges and offer solutions that enhance communication reliability. His work continues to influence the field and inspire future advancements.