摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据NewsRx编辑在印度马哈拉施特拉邦的新闻报道，研究表明，“由于对额外容量和更高质量数据传输的持续需求，信道编码作为数字通信网络的关键组成部分已经从传统的单一对发展而来，点对点信息论在一类参数多样的编码技术中的应用. B5G/6G网络技术的异构性要求使编码参数的灵活性成为信道编码设计的主要要求.
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting out of Maharashtra, India, by NewsRx editors, research stated, "As a consequence of continuing demand for additional capacity and higher quality data transmission, channel coding as a key componen t of a digital communication network has progressed from a classical single pair , point-to-point information theoretic application to a class of coding techniqu es with diverse parameters. The heterogeneous requirements of B5G/6G networks te chnology have made flexibility of code parameters the main desired feature while designing channel codes."
NETL
NSTL