A Study on Chronic Cough Detection using IoT and Machine Learning

Abstract

In this paper, we propose a rate-compatible FEC scheme based on LDPC codes together with its soft-ware reconfigurable unified FPGA architecture. By FPGA emulation, we demonstrate that the proposed class of rate-compatible LDPC codes based on puncturing and general-ized LDPC coding with an overhead from 25% to 46% provides a coding gain ranging from 12.67 dB to 13.8 dB at a post-FEC BER of 10-15. As a result, the proposed rate-compatible codes represent one of the strong FEC candidates of soft-decision FEC for both short-haul and long-haul optical transmission systems.