This inventor holds 1 USPTO granted patent and 2 published patent applications and 5 EPO patents. Top assignee: Nokia Solutions and Networks Oy. Active years: 2024.
Company Filing History:
Years Active: 2024
Title: Daniele Cucchi: Innovator in Error-Correction Processing
Introduction
Daniele Cucchi is a notable inventor based in Milan, Italy. He has made significant contributions to the field of error-correction processing, particularly through his innovative patent. His work focuses on enhancing the efficiency of low-density parity-check (LDPC) decoders, which are crucial in various communication systems.
Latest Patents
Daniele Cucchi holds a patent for a "Reduced-power implementation of error-correction processing." This invention features an LDPC decoder that includes a pre-processor, a core decoder, and a post-processor. The pre-processor is designed to transform a received log-likelihood-ratio (LLR) sequence, allowing the core decoder to operate at a reduced rate during iterative decoding. When the decoding process halts, the post-processor applies a transformation to recover the corresponding codeword of the LDPC code. This innovative approach can potentially reduce power consumption by approximately 10%.
Career Highlights
Throughout his career, Daniele Cucchi has worked with prominent companies in the technology sector. He has been associated with Nokia Solutions and Networks and Siae Microelettronica. His experience in these organizations has contributed to his expertise in developing advanced communication technologies.
Collaborations
Daniele has collaborated with talented individuals in his field, including Davide Cattaneo and Luca Gabriele Razzetti. These partnerships have fostered innovation and have been instrumental in the development of his patented technologies.
Conclusion
Daniele Cucchi is a distinguished inventor whose work in error-correction processing has made a significant impact on communication technology. His innovative patent demonstrates his commitment to enhancing efficiency and reducing power consumption in decoding processes.
