CIF: Small: Hybrid analog-digital schemes for joint source-channel coding of digital sources

CIF：小型：数字源联合源通道编码的混合模拟数字方案

• 批准号: 1618653
• 负责人: Javier Garcia-Frias
• 金额: $ 40.32万
• 依托单位: University of Delaware
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-06-15 至 2021-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1618653&HistoricalAwards=false
• 关键词: CIF; Small; Hybrid; analog; digital

This project aims at the development of novel schemes for high throughput transmission of digital sources over noisy channels for a wide range of source and channel environments. The research effort will result in significant advancements in communications systems, including the case in which the data presents temporal or spatial correlations. Since multiple data sets, such as sensor networks and medical data, present this type of structures, this project has the potential to impact society as a whole. The main goal of this research is to study the application of hybrid analog-digital joint source-channel coding schemes for the transmission of digital sources over noisy channels. The proposed hybrid schemes consist of two sub-blocks concatenated in parallel: First, a digital-to-analog encoder, which will produce either real numbers or many multiple discrete points from the input bits. Second, a digital encoder, which will produce coded bits from the input bits. The key idea is to take advantage of the analog component of the hybrid scheme to achieve high throughput communications, and robustness against changes in the channel conditions, something that is challenging with standard digital channel codes. On the other hand, the use of pure digital-to-analog encoders would lead to significant error floors, with the consequent performance degradation. However, thanks to the use of the digital encoder sub-block, these error floors can be substantially reduced to achieve an excellent performance. Hybrid analog-digital practical coding systems have not been applied for the encoding of digital sources. The development of these techniques is of great interest in practical applications such as image and video coding, sensor networks and medical applications.

该项目旨在开发新颖的方案，用于在各种源和信道环境下通过噪声信道进行数字源的高吞吐量传输。这项研究工作将带来通信系统的重大进步，包括数据呈现时间或空间相关性的情况。由于传感器网络和医疗数据等多个数据集呈现这种类型的结构，因此该项目有可能影响整个社会。 本研究的主要目标是研究混合模拟数字联合源信道编码方案在噪声信道上传输数字源的应用。所提出的混合方案由两个并行连接的子块组成：首先是数模编码器，它将从输入位产生实数或许多多个离散点。其次，数字编码器将从输入位生成编码位。关键思想是利用混合方案的模拟组件来实现高吞吐量通信以及针对信道条件变化的鲁棒性，这对标准数字信道代码来说是一个挑战。另一方面，使用纯数模编码器会导致显着的错误层，从而导致性能下降。然而，由于使用了数字编码器子块，可以大大减少这些错误平台以实现出色的性能。混合模拟数字实用编码系统尚未应用于数字源的编码。这些技术的发展在图像和视频编码、传感器网络和医疗应用等实际应用中引起了极大的兴趣。