Massachusetts Institute of Technology

Nationaluniversity of Ireland, Maynooth

Boston University

Amit Solomon

Muriel Medard

Kenneth R Duffy

Alejandro Cohen

Wei An

Rabia Tugce Yazicigil Kirby

Vaibhav Bansal

Described is a decoder suitable for use with any communication or storage system. The described decoder has a modular decoder hardware architecture capable of implementing a noise guessing process and due to its dependency only on noise, the decoder design is independent of any encoder, thus making it a universal decoder. Hence, the decoder architecture described herein is agnostic to any coding scheme.

Universal guessing random additive noise decoding (GRAND) decoder

Described are concepts, systems, devices and methods that enhance decoding performance of channels subject to correlated noise. The concepts, systems, devices and methods can be used with any combination of codes, code-rates and decoding techniques. In embodiments, a continuous realization of effective noise is estimated from a lead channel by subtracting its decoded output from its received signal. This estimate is then used to improve the accuracy of decoding of an otherwise orthogonal channel that is experiencing correlated effective noise. In this approach, channels aid each other through the post-decoding provision of estimates of effective noise. In some embodiments, the lead channel is not pre-determined, but is chosen dynamically based on which of a plurality of decoders completes first, or using soft information including an estimate of effective noise that is least energetic or most likely to have occurred.

Noise recycling

Growing community of inventors

Cambridge, MA, United States of America

Amit Solomon