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

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。这些系统应该以最小的硬件资源、最小的通信和最小的计算开销来运行，并且这些效率可以显著地提高性能、可靠性和可用性，这可以拓宽传感器系统的整体应用范围。这个EAGER项目是追求传感系统中架构和电路模型的动态可配置性的初步结果，拟议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可植入传感器中，能量受到严格约束。研究的最终目标是利用传感系统的可配置性和动态性来提高系统的整体效率。本课题是对动态建筑传感技术的探索，在信号采集的理论和实践上开辟了一个新的研究方向。该项目的成功将使传感系统获得更好的性能-能量平衡，从而进一步加强其相对于其他采样技术的优势，并扩展其应用范围。为扩大项目的影响，研究所将通过多种渠道传播研究成果，包括会议介绍、期刊出版和在线公开研究材料。研究所亦计划将研究成果纳入课程发展，并就相关课题举办新的研究研讨会。该项目将为本科生和研究人员提供研究机会。具体来说，EAGER项目研究了参数化压缩感知架构的动态可配置性。通过物理和架构模型，压缩感知架构是灵活的，并提供了更大的设计/配置空间，并且可以适应不同的信号结构和使用条件。本研究希望借由实体模型的建构，探索更深层次的效能-能量边界。为此，本项目将开展一系列的研究工作，其技术重点可以概括为三个方面。首先，该项目将探索压缩感知中架构和电路级别的可配置性，并结合信号结构变化。压缩感知中的多个因素将被研究。其次，通过将物理模型集成到压缩感知架构中，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空间中得到证明。第三，一组新的算法将开发有效的配置搜索在设计空间。本计画将探讨数种决定性与启发式策略。

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.