EAGER-DynamicData: Collaborative: Exploiting the Dynamically Architectural Configurability for Compressed Sensing

EAGER-DynamicData：协作：利用压缩感知的动态架构可配置性

• 批准号: 1462498
• 负责人: Wenyao Xu
• 金额: $ 4万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-15 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1462498&HistoricalAwards=false
• 关键词: EAGER; DynamicData; Collaborative; Exploiting; Dynamically

Sensors or sensing systems are increasingly critical in a variety of applications including national security, surveillance monitoring and health care. Those systems should function with minimal hardware recourses, minimal communications and minimal computation overhead, and these efficiencies can dramatically improve the performance, reliability and usability, which can broaden the overall application scope of sensor systems. This EAGER project is to pursue preliminary results of dynamic configurability of architectural and circuit models in sensing systems, and the proposed research will have significant impacts on a range of sensing applications under the resource-constrained environment. For example, in large-scale sensor networks or implantable sensors, energy is tightly constrained. The ultimate goal of the research is to exploit the configurability and dynamics of sensing systems to improve the overall system efficiency. This project serves as an expedition to investigate the dynamically architectural sensing techniques and may open a new research direction of theory and practice in the signal acquisition. Upon the success of this project, a better performance-energy tradeoff in the sensing system will be obtained, which can further strengthen its advantage compared to other sampling techniques, and extend its application regime. To broaden the impacts of this project, PIs will disseminate the research results through multiple channels, including conference presentation, journal publication and open research material online. PIs also plan to integrate the research outcomes into the curriculum development and develop a new research seminar on related topics. The project will provide research opportunities for undergraduate students and researchers from underrepresented groups.Specifically, this EAGER project investigates the dynamic configurability of parameterized Compressed Sensing architecture. With the physical and architectural models, the Compressed Sensing architecture is flexible and provides a larger design/configuration space, and can adapt towards different signal structures and use conditions. The research work is expected to explore a deeper bound of the performance-energy by exploiting the architectural configurability with physical models. To this aim, a set of research tasks will be performed in this project, and the technical thrusts can be summarized from three aspects. First, the project will explore the configurability at both architectural- and circuit- levels in Compressed Sensing, incorporating signal structure variations. Multiple factors in the Compressed Sensing will be investigated. Second, by integrating physical models into the Compressed Sensing architecture, a larger design space will be discovered and defined. The benefit of the performance-energy trade-off will be demonstrated in the new space. Third, a set of novel algorithms will be developed for efficient configuration search in the design space. Several deterministic and heuristic strategies will be investigated in the project.

传感器或传感系统在包括国家安全、监视监测和医疗保健在内的各种应用中越来越重要。这些系统应该以最少的硬件资源、最少的通信和最小的计算开销来运行，这些效率可以显著提高传感器系统的性能、可靠性和可用性，从而拓宽传感器系统的整体应用范围。这个迫切的项目是追求传感系统中体系结构和电路模型的动态可配置性的初步结果，所提出的研究将对资源受限环境下的一系列传感应用产生重大影响。例如，在大规模传感器网络或植入式传感器中，能量受到严格限制。研究的最终目标是开发传感系统的可配置性和动态化，以提高整个系统的效率。本课题是对建筑动态传感技术研究的一次探索，可能为信号采集开辟一个新的理论和实践研究方向。该项目成功后，将在传感系统的性能和能量之间取得更好的权衡，这将进一步加强其相对于其他采样技术的优势，扩大其应用范围。为了扩大这一项目的影响，私人投资机构将通过多种渠道传播研究成果，包括会议报告、期刊出版物和网上公开研究材料。PIS还计划将研究成果纳入课程开发，并就相关主题开发一个新的研究研讨会。该项目将为本科生和来自代表性不足群体的研究人员提供研究机会。具体地说，这个渴望的项目研究了参数化压缩感知体系结构的动态可配置性。通过物理模型和体系结构模型，压缩感知体系结构灵活，提供了更大的设计/配置空间，可以适应不同的信号结构和使用条件。这项研究工作希望通过利用物理模型的建筑可配置性来探索性能-能量的更深层次的界限。为此，本项目将开展一系列研究工作，技术攻关可从三个方面进行总结。首先，该项目将探索在压缩感知中的架构和电路级别的可配置性，结合信号结构变化。对压缩感知中的多种因素进行了研究。其次，通过将物理模型集成到压缩感知体系结构中，将发现和定义更大的设计空间。性能-能源权衡的好处将在新的领域得到展示。第三，将开发一套新颖的算法，以在设计空间中进行高效的配置搜索。在该项目中将研究几种确定性和启发式策略。