Recovering structured signals: atoms, matrix separation, and applications

恢复结构化信号:原子、矩阵分离和应用

基本信息

  • 批准号:
    2307827
  • 负责人:
  • 金额:
    $ 19.9万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-08-15 至 2026-07-31
  • 项目状态:
    未结题

项目摘要

High dimensional data sensing, representation, and recovery that utilize the data’s intrinsic low dimensionality have become pervasive in many applications, including signal processing, computer vision, and machine learning. This project involves the development and analysis of new solutions for sensing and analyzing high dimensional data, inspired by the electrodermal activity (EDA) signal decomposition problem. A cleaner EDA decomposition allows scientists and data analysts to extract better features to serve a variety of tasks such as market research, seizure detection, human stress analysis, and emotion recognition, leading to social and economical benefits. In particular, this project aims to increase the recovery rate of medication-assisted treatment in rehabilitation centers. Many of the expected results will also be applicable to other imaging modalities as well as machine learning applications. Undergraduate and master students from diverse backgrounds will be mentored as part of this project. The students will also have opportunities to work with peers and researchers to better understand and contribute to real world applications. This project aims to recover structured signals that are intrinsically low dimensional with significantly subsampled measurements. The project involves an analysis of the sensing conditions needed for the subsampled measurements and how they benefit the structured signals expressed in terms of few atoms. A framework for a generalized matrix decomposition will also be developed, which will be suitable for the EDA decomposition setting. Efficient algorithms for solving the associated novel optimization problems will also be developed and implemented. The new framework developed in this project combined with rigorous theoretical guarantees are expected to strengthen existing partnerships with other disciplines such as psychology and industry.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
利用数据固有的低维度的高维数据感测、表示和恢复已经在许多应用中变得普遍,包括信号处理、计算机视觉和机器学习。该项目涉及开发和分析用于感测和分析高维数据的新解决方案,其灵感来自皮肤电活动(EDA)信号分解问题。更清晰的EDA分解使科学家和数据分析师能够提取更好的特征,以服务于各种任务,如市场研究,癫痫发作检测,人类压力分析和情感识别,从而带来社会和经济效益。特别是,该项目旨在提高康复中心药物辅助治疗的康复率。许多预期的结果也将适用于其他成像模式以及机器学习应用。来自不同背景的本科生和硕士生将作为该项目的一部分进行指导。学生也将有机会与同行和研究人员合作,以更好地了解和促进真实的世界的应用。该项目旨在恢复结构化信号,本质上是低维的显着二次采样测量。该项目涉及分析二次采样测量所需的传感条件,以及它们如何使以少数原子表示的结构化信号受益。一个广义矩阵分解的框架也将开发,这将是适合的EDA分解设置。解决相关的新的优化问题的有效算法也将开发和实施。该项目中开发的新框架与严格的理论保证相结合,有望加强与心理学和工业等其他学科的现有合作伙伴关系。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(0)
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Xuemei Chen其他文献

Influence of the dispersive and dissipative scales alpha and beta on the energy spectrum of the Navier-Stokes alphabeta equations.
色散和耗散尺度 α 和 β 对纳维-斯托克斯字母方程能谱的影响。
Marinimicrococcus flavescens gen. nov., sp. nov., a new member of the family Geminicoccaceae, isolated from a marine sediment of the South China Sea.
淡黄海微球菌属
Interactive reception of online literary translation: the translator-readers dynamics in a discussion forum
  • DOI:
    10.1080/0907676x.2022.2030375
  • 发表时间:
    2022-02
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Xuemei Chen
  • 通讯作者:
    Xuemei Chen
Reaction of rhodium oxide clusters toward CO investigated by thermal desorption spectrometry in the gas phase
气相热解吸光谱法研究氧化铑簇与 CO 的反应
  • DOI:
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Xuemei Chen;Toshiaki Nagata;Ken Miyajima;Fumitaka Mafune
  • 通讯作者:
    Fumitaka Mafune
AN ALGORITHM FOR DIRECT SIMULATION OF LINEAR WAVE PROPAGATION IN IRREGULAR REGIONS
不规则区域线性波传播的直接模拟算法
  • DOI:
    10.1142/s0218396x09003999
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Xuemei Chen;J. C. W. Rogers;S. L. Means;W. Szymczak
  • 通讯作者:
    W. Szymczak

Xuemei Chen的其他文献

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{{ truncateString('Xuemei Chen', 18)}}的其他基金

Recovering Signals Sparse in a Frame: Theory and Applications
恢复帧中稀疏信号:理论与应用
  • 批准号:
    2050028
  • 财政年份:
    2020
  • 资助金额:
    $ 19.9万
  • 项目类别:
    Standard Grant
Recovering Signals Sparse in a Frame: Theory and Applications
恢复帧中稀疏信号:理论与应用
  • 批准号:
    1908880
  • 财政年份:
    2019
  • 资助金额:
    $ 19.9万
  • 项目类别:
    Standard Grant
Arabidopsis 2010: Transcription and Processing Requirements for Noncoding Transcripts Near SiRNA Loci in Arabidopsis
拟南芥 2010:拟南芥中 SiRNA 位点附近非编码转录本的转录和处理要求
  • 批准号:
    1021465
  • 财政年份:
    2010
  • 资助金额:
    $ 19.9万
  • 项目类别:
    Continuing Grant
Role of Methylation in MicroRNA Metabolism in Arabidopsis
甲基化在拟南芥 MicroRNA 代谢中的作用
  • 批准号:
    0718029
  • 财政年份:
    2007
  • 资助金额:
    $ 19.9万
  • 项目类别:
    Continuing Grant
Conference: 24th Symposium in Plant Biology being held January 18-20, 2007 in Riverside, California
会议:第 24 届植物生物学研讨会于 2007 年 1 月 18 日至 20 日在加利福尼亚州里弗赛德举行
  • 批准号:
    0614729
  • 财政年份:
    2006
  • 资助金额:
    $ 19.9万
  • 项目类别:
    Standard Grant
The Role of HEN1 in MicroRNA Biogenesis in Arabidopsis
HEN1 在拟南芥 MicroRNA 生物发生中的作用
  • 批准号:
    0612958
  • 财政年份:
    2005
  • 资助金额:
    $ 19.9万
  • 项目类别:
    Continuing Grant
The Role of HEN1 in MicroRNA Biogenesis in Arabidopsis
HEN1 在拟南芥 MicroRNA 生物发生中的作用
  • 批准号:
    0343480
  • 财政年份:
    2004
  • 资助金额:
    $ 19.9万
  • 项目类别:
    Continuing Grant

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