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运行，这些效率可以显着提高性能，可靠性和可用性，这可以扩大传感器系统的整体应用范围。该EAGER项目旨在探索传感系统中建筑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，在大型传感器网络或植入式传感器中，能量受到严格限制。研究的最终目标是利用传感系统的可配置性和动态性来提高整个系统的效率。本课题是对动态建筑传感技术的一次探索，为信号采集的理论和实践开辟了新的研究方向。在此项目成功后，传感系统将获得更好的性能-能量权衡，这可以进一步增强其与其他采样技术相比的优势，并扩展其应用范围。为了扩大该项目的影响，pi将通过多种渠道传播研究成果，包括会议演讲，期刊出版和在线开放研究资料。pi亦计划将研究成果纳入课程发展，并就相关主题举办新的研究研讨会。该项目将为来自代表性不足群体的本科生和研究人员提供研究机会。具体来说，这个EAGER项目研究了参数化压缩感知体系结构的动态可配置性。压缩感知体系结构具有物理模型和体系结构模型，具有灵活性和更大的设计/配置空间，可以适应不同的信号结构和使用条件。研究工作希望通过利用物理模型的结构可配置性来探索性能能量的更深层次的界限。为此，本项目将进行一系列的研究任务，技术重点可以从三个方面进行总结。首先，该项目将探索压缩感知的架构和电路级别的可配置性，包括信号结构的变化。本文将研究压缩感知中的多种因素。其次，通过将物理模型集成到压缩感知架构中，可以发现和定义更大的设计空间。性能-能量权衡的好处将在新空间中得到体现。第三，将开发一套新颖的算法，用于在设计空间中进行有效的配置搜索。几个确定性和启发式策略将在项目中进行调查。

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.