Optimization of Distributed Coding for Sources with Memory and Applications in Sensor Networks

带内存的分布式编码源优化及其在传感器网络中的应用

基本信息

  • 批准号:
    0728986
  • 负责人:
  • 金额:
    $ 35万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2007
  • 资助国家:
    美国
  • 起止时间:
    2007-10-01 至 2011-09-30
  • 项目状态:
    已结题

项目摘要

0728986Rose, KennethU of Cal Santa BarbaraOptimization of Distributed Coding for Sources with Memory and Applications in Sensor NetworksDistributed source coding is strongly motivated by high-density sensor networks with promising applications in numerous diverse scientific and engineering disciplines. Energy and capacity constraints led to extensive efforts to exploit inter-sensor (spatial) correlations so as to minimize resource requirements for data communications. However, practical distributed sources virtually always exhibit considerable time correlations. A major challenge emerges due to conflicts between the objectives of exploiting temporal versus spatial correlations. The degree to which distributed source coding will be practically applicable to sensor networks crucially depends on the development of effective solutions. The project focuses on joint exploitation of temporal and spatial correlations, which requires fundamental tradeoff analysis, development of new coder paradigms, and optimization tools to handle design intricacies and system complexity constraints.The research work comprises derivation of the theoretical foundation for the approaches from source coding, estimation and information theory principles, and the development of practical algorithmic tools for optimizing distributed predictive coders to overcome several obstacles and challenges: conflicts between prediction and distributed quantization, intractability of the cost function which is riddled with local minima, instability of training procedures due to feedback through the prediction loop, impacts of channel loss on performance and design, adaptation of the cost function to account (in time and space) for significant sensed events. Relevant tools for global optimization and for stable design of predictive coders, developed by the Principal Investigator's research group, will serve as initial building blocks for the approach. Extensive multidisciplinary interest in sensor networks is leveraged for access to diverse data and real-world experimental settings, for exposure of students to a broad mix of disciplines, and for broad dissemination of results.
0728986Rose,加州圣巴巴拉大学的Anasthus传感器网络中具有存储器和应用的源的分布式编码优化分布式源编码受到高密度传感器网络的强烈推动,在许多不同的科学和工程学科中具有广阔的应用前景。能源和容量的限制导致广泛的努力,利用传感器间(空间)的相关性,以尽量减少数据通信的资源需求。然而,实际的分布式源几乎总是表现出相当大的时间相关性。一个主要的挑战出现,由于利用时间与空间的相关性的目标之间的冲突。分布式信源编码在传感器网络中的实际应用程度取决于有效解决方案的开发。该项目的重点是时间和空间相关性的联合开发,这需要基本的权衡分析,开发新的编码器范例,以及优化工具来处理设计复杂性和系统复杂性约束。研究工作包括从信源编码,估计和信息论原理推导这些方法的理论基础,以及开发用于优化分布式预测编码器的实用算法工具,以克服若干障碍和挑战:预测和分布式量化之间的冲突,充满局部最小值的代价函数的棘手性,由于通过预测环路的反馈导致的训练过程的不稳定性、信道损耗对性能和设计的影响、成本函数的适应性以考虑(在时间和空间上)重要的感知事件。由首席研究员的研究小组开发的用于全局优化和稳定设计预测编码器的相关工具将作为该方法的初始构建块。传感器网络中广泛的多学科兴趣被利用来访问不同的数据和真实世界的实验环境,让学生接触到广泛的学科组合,并广泛传播结果。

项目成果

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Kenneth Rose其他文献

Management Strategy of the Naked Carp (Gymnocypris Przewalskii) in the Qinghai Lake Using Matrix Population Model
基于矩阵种群模型的青海湖裸鲤管理策略
  • DOI:
    10.2139/ssrn.4255041
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Chubin Weng;Mengzhen Xu;F. Lei;Kenneth Rose
  • 通讯作者:
    Kenneth Rose
Modeling developable surfaces from arbitrary boundary curves
根据任意边界曲线对可展曲面进行建模
  • DOI:
    10.14288/1.0052002
  • 发表时间:
    2007
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Kenneth Rose
  • 通讯作者:
    Kenneth Rose
Emergency Department Visits for Pedestrians Injured in Motor Vehicle Traffic Crashes — United States, January 2021–December 2023
急诊科探访机动车交通事故中受伤的行人——美国,2021 年 1 月至 2023 年 12 月
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Vaughn Barry;Miriam E Van Dyke;Jasmine Y. Nakayama;H. Zaganjor;Michael Sheppard;Zachary Stein;Lakshmi Radhakrishnan;Emily Schweninger;Kenneth Rose;Geoffrey P. Whitfield;Bethany West
  • 通讯作者:
    Bethany West
Design charts for estimating transportation planning statistics from area population
  • DOI:
    10.1007/bf00166889
  • 发表时间:
    1975-03-01
  • 期刊:
  • 影响因子:
    3.300
  • 作者:
    Kenneth Rose
  • 通讯作者:
    Kenneth Rose
Phenolic Compounds Isolated and Identified from Amla (Phyllanthus emblica) Juice Powder and their Antioxidant and Neuroprotective Activities.
从余甘子(余甘子)果汁粉中分离和鉴定的酚类化合物及其抗氧化和神经保护活性。
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    1.8
  • 作者:
    Kenneth Rose;Chunpeng Wan;Amber Thomas;Navindra P. Seeram;Hang Ma
  • 通讯作者:
    Hang Ma

Kenneth Rose的其他文献

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{{ truncateString('Kenneth Rose', 18)}}的其他基金

NSF-BSF: CIF: Small: Self-adapting Code Generation in Rate-distortion Theory, Machine Learning, and Channel Coding
NSF-BSF:CIF:小型:率失真理论、机器学习和信道编码中的自适应代码生成
  • 批准号:
    1909423
  • 财政年份:
    2019
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
CIF: Small: The Common Information Framework and Optimal Coding for Layered Storage and Transmission of Audio Signals
CIF:Small:音频信号分层存储和传输的通用信息框架和最佳编码
  • 批准号:
    1320599
  • 财政年份:
    2013
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
CIF: Small: Analog Networking: Distributed Source-Channel Approaches to Delay and Resource Constrained Communications
CIF:小型:模拟网络:解决延迟和资源受限通信的分布式源通道方法
  • 批准号:
    1118075
  • 财政年份:
    2011
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
CIF: Small: An Integrated Framework for Distributed Source Coding and Dispersive Information Routing
CIF:小型:分布式源编码和分散信息路由的集成框架
  • 批准号:
    1016861
  • 财政年份:
    2010
  • 资助金额:
    $ 35万
  • 项目类别:
    Continuing Grant
CIF: Small: A Resource-Scalable Unifying Framework for Aural Signal Coding
CIF:小型:用于音频信号编码的资源可扩展统一框架
  • 批准号:
    0917230
  • 财政年份:
    2009
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
Collaborative Research: Effects of Climatic/Environmental Change on Early Eocene Mammal Fauna of the Bighorn Basin, Wyoming
合作研究:气候/环境变化对怀俄明州比格霍恩盆地早始新世哺乳动物群的影响
  • 批准号:
    0616376
  • 财政年份:
    2006
  • 资助金额:
    $ 35万
  • 项目类别:
    Continuing Grant
Fast Approximate Search and Retrieval of High-Dimensional Data
高维数据的快速近似搜索和检索
  • 批准号:
    0329267
  • 财政年份:
    2004
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
Doctoral Dissertation Improvement: Paleoecological Modeling and the Evolution of Early Eocene Primates in the Bighorn Basin, WY
博士论文改进:怀俄明州比格霍恩盆地的古生态模型和早期始新世灵长类动物的进化
  • 批准号:
    0303768
  • 财政年份:
    2003
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
COLLABORATIVE RESEARCH: An Integrated High-Resolution Study of the Effects of Shifting Climate on Late Paleocene-Early Eocene Continental Ecosystems
合作研究:气候变化对古新世晚期-始新世早期大陆生态系统影响的综合高分辨率研究
  • 批准号:
    0000941
  • 财政年份:
    2001
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
CISE Research Instrumentation: Research in Computational Multimedia
CISE 研究仪器:计算多媒体研究
  • 批准号:
    9986057
  • 财政年份:
    2000
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant

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