Adaptive Hardware Systems with Novel Algorithmic Design and Guaranteed Resource Bounds

具有新颖算法设计和有保证的资源范围的自适应硬件系统

• 批准号: EP/F031017/1
• 负责人: Roger Woods
• 金额: $ 48.8万
• 依托单位: Queen's University Belfast
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2008
• 资助国家: 英国
• 起止时间: 2008 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FF031017%2F1
• 关键词: Adaptive; Hardware; Systems; Novel; Algorithmic

Digital processing of signals and images are frequently performed in many commercial electronic devices, including computer networks, mobile telephones and computer vision systems. A steady growth in demand for high functionality and reliability in devices such as mobile phones means that many different types of computer processors are used, from general purpose processors found in personal computers to computer chips designed to perform very specific tasks. However, at present there are no efficient design techniques that allow complex devices to be built up from a range of different computer processors. This means that current designs are often inefficient in terms of power usage and their responsiveness. Thus, a key requirement for the long-term exploitation of signal and image processing technologies lies in developing the increasingly complex processors that are required for high performance.This project addresses this need. It represents a rich inter-disciplinary collaboration between electronic engineers and computer scientists collectively aimed at overcoming fundamental challenges in high-performance computing applications. The proposed research builds on recent world-leading work in signal and image processing methods, techniques to assess the performance and complexity of computer software, and complex processor design techniques. A successful outcome to this research will allow new and efficient implementations of complex signal processing algorithms to support a diverse range of applications.

信号和图像的数字处理经常在许多商业电子设备中执行，包括计算机网络、移动电话和计算机视觉系统。对移动电话等设备的高功能性和可靠性的需求的稳步增长意味着使用了许多不同类型的计算机处理器，从个人计算机中的通用处理器到设计用于执行非常具体的任务的计算机芯片。然而，目前还没有有效的设计技术来允许从一系列不同的计算机处理器构建复杂的设备。这意味着当前的设计在功率使用和响应能力方面往往效率低下。因此，长期开发信号和图像处理技术的一个关键要求是开发高性能所需的日益复杂的处理器。本项目满足了这一需求。它代表了电子工程师和计算机科学家之间丰富的跨学科合作，旨在克服高性能计算应用程序中的根本挑战。这项拟议的研究建立在最近在信号和图像处理方法、评估计算机软件的性能和复杂性的技术以及复杂的处理器设计技术方面的世界领先工作的基础上。这项研究的成功结果将允许新的和有效的复杂信号处理算法的实施，以支持各种应用。

项目成果

Tree-Based Adaptive Spatial Detection for Adaptive Modulated MIMO Systems

自适应调制 MIMO 系统的基于树的自适应空间检测

• 发表时间: 2011
• 期刊: SDR'11
• 作者: Zheng C

Real-Valued Fixed-Complexity Sphere Decoder for High Dimensional QAM-MIMO Systems

• DOI: 10.1109/tsp.2011.2159213
• 发表时间: 2011-09
• 期刊: IEEE Transactions on Signal Processing
• 影响因子: 5.4
• 作者: C. Zheng;X. Chu;J. McAllister;Roger Francis Woods

Software-Defined Sphere Decoding for FPGA-Based MIMO Detection

用于基于 FPGA 的 MIMO 检测的软件定义球体解码

• DOI: 10.1109/tsp.2012.2210951
• 发表时间: 2012
• 期刊: IEEE Transactions on Signal Processing
• 影响因子: 5.4
• 作者: Xuezheng Chu