no code implementations • 14 Feb 2024 • S Ashwin Hebbar, Sravan Kumar Ankireddy, Hyeji Kim, Sewoong Oh, Pramod Viswanath
Polar codes, developed on the foundation of Arikan's polarization kernel, represent a breakthrough in coding theory and have emerged as the state-of-the-art error-correction-code in short-to-medium block length regimes.
no code implementations • 30 Jan 2024 • Sravan Kumar Ankireddy, S Ashwin Hebbar, Heping Wan, Joonyoung Cho, Charlie Zhang
Tailoring polar code construction for decoding algorithms beyond successive cancellation has remained a topic of significant interest in the field.
1 code implementation • 1 Oct 2022 • S Ashwin Hebbar, Viraj Nadkarni, Ashok Vardhan Makkuva, Suma Bhat, Sewoong Oh, Pramod Viswanath
We design a principled curriculum, guided by information-theoretic insights, to train CRISP and show that it outperforms the successive-cancellation (SC) decoder and attains near-optimal reliability performance on the Polar(32, 16) and Polar(64, 22) codes.
1 code implementation • 30 Sep 2022 • S Ashwin Hebbar, Rajesh K Mishra, Sravan Kumar Ankireddy, Ashok V Makkuva, Hyeji Kim, Pramod Viswanath
In this paper, we introduce a neural-augmented decoder for Turbo codes called TINYTURBO .