课题基金 / 基金详情

CIF: Small: Channels with Memory -- Universal-Compression-Based Modeling Principles for Computing and Optimizing Information Rates

CIF: Small: Channels with Memory -- Universal-Compression-Based Modeling Principles for Computing and Optimizing Information Rates
CIF:小:带内存的通道——用于计算和优化信息速率的基于通用压缩的建模原理
批准号:
1018984
负责人:
Aleksandar Kavcic
金额:
$46.2万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-08-01 至 2014-07-31

项目摘要

项目成果

Aleksandar Kavcic的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
ABSTRACTThe behavior of most physical communication channels depends on the past usage of the channel -- namely, many physical communication channels exhibit "memory". The challenge then is to construct tools that optimally take advantage of the channel memory. In addition, usual information theoretic analysis methods are ill equipped to even compute the capacity, i.e., how much information can be reliably sent through such channels with long memory. This research attacks these problems using recent developments in the fields of source coding and statistics and augments existing computational tools specifically for channels with memory.In the context of communication channels, an adequate model is the simplest fit to the channel input/output observations that enables sufficiently accurate evaluation (estimation) of the channel capacity. The investigators are extending universal compression principles, particularly those developed for the undersampled regime, to information transmission problems. The practical thrust of the research includes the development of algorithms for model based capacity computations. The starting point is the efficient implementation of the Baum-Welch/BCJR algorithm as a computational kernel in a range of approximations to the generalized Blahut-Arimoto method. Specifically, techniques that adaptively control the number of processed states are exploited, trading off the time per iteration and accuracy of computations. While the theoretical thrust reduces the state space by fitting a simpler model, the algorithm design component adds another dimension to complexity reduction by utilizing Markov chain Monte Carlo techniques for navigating complex state spaces, i.e., by transversing only high probability states.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: Cross-Layer and Unified Signal Processing System Design for Ultra-High-Capacity Next-Generation Magnetic Storage
  • 批准号:
    1128705
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $16.5万
  • 财政年份:
    2011
  • 负责人:
    Aleksandar Kavcic
  • 依托单位:
Collaborative Research: Factor-Graph Approach to Monitoring and Failure Assessment in Smart-Grid Networks
  • 批准号:
    1029081
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $22.5万
  • 财政年份:
    2010
  • 负责人:
    Aleksandar Kavcic
  • 依托单位:
Travel Support for the 2007 Institute of Electrical and Electronics Engineers (IEEE) International Symposium on Information Theory
  • 批准号:
    0650035
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2007
  • 负责人:
    Aleksandar Kavcic
  • 依托单位:
Collaborative Research: Energy-efficient communication with optimized ECC decoders: Connecting Algorithms and Implementations
  • 批准号:
    0725649
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $12.0万
  • 财政年份:
    2007
  • 负责人:
    Aleksandar Kavcic
  • 依托单位:
国内基金
海外基金
昼夜节律性small RNA在血斑形成时间推断中的法医学应用研究
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
  • 依托单位:
tRNA-derived small RNA上调YBX1/CCL5通路参与硼替佐米诱导慢性疼痛的机制研究
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    张祥忠
  • 依托单位:
Small RNA调控I-F型CRISPR-Cas适应性免疫性的应答及分子机制
Small RNAs调控解淀粉芽胞杆菌FZB42生防功能的机制研究
  • 批准号:
    31972324
  • 项目类别:
    面上项目
  • 资助金额:
    58.0万元
  • 批准年份:
    2019
  • 负责人:
    高学文
  • 依托单位: