Company Filing History:
Years Active: 2006-2009
Title: Matteo Frigo: Innovator in Decoding Technologies
Introduction
Matteo Frigo is a prominent inventor based in Cambridge, MA (US). He has made significant contributions to the field of decoding technologies, holding a total of 3 patents. His work focuses on improving methods for decoding convolutional codes and enhancing noise-adaptive decoding processes.
Latest Patents
Frigo's latest patents include innovative methods that advance the capabilities of decoding technologies. One of his notable inventions is related to convolutional decoding. This method involves receiving convolutional codes and utilizing a lazy Viterbi decoder to decode them. The convolutional codes can be either stream or block convolutional codes, and the lazy Viterbi decoder is particularly effective in software radio environments. Another significant patent addresses noise-adaptive decoding. This method includes receiving encoded data and decoding it using a noise-adaptive decoder. The data may consist of first-order Reed-Mueller (FORM) based codes and may be based on Complementary Code Keying. The noise-adaptive decoder determines values of a hard decision based on an initial decoding process and discards these values if a noise sensitivity parameter exceeds a threshold. If this parameter is above the threshold, a second decoding process is employed.
Career Highlights
Matteo Frigo is currently associated with Vanu, Inc., where he continues to develop and refine his innovative technologies. His work has positioned him as a key figure in the field of decoding methods, contributing to advancements that benefit various applications.
Collaborations
Frigo collaborates with talented individuals such as Jon Feldman and Ibrahim Abou-Faycal. These partnerships enhance the innovative environment at Vanu, Inc. and foster the development of cutting-edge technologies.
Conclusion
Matteo Frigo's contributions to decoding technologies through his patents and collaborations highlight his role as an influential inventor. His work continues to shape the future of decoding methods, making significant strides in the field.