压缩感知综述
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作者单位:

重庆大学a. 自动化学院,b. 输配电装备及系统安全与新技术国家重点实验室

作者简介:

尹宏鹏

通讯作者:

中图分类号:

TP13

基金项目:

null


Survey of compressed sensing
Author:
Affiliation:

a. College of Automation,b. State Key Laboratory of Power Transmission Equipment and System Security and
New Technology,Chongqing University,

Fund Project:

null

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    摘要:

    压缩感知理论的诞生使得采样速率与信号的结构和内容相关, 并以低于奈奎斯特采样定理要求的频率采
    样、编码和重构. 在实际应用中, 为解决数据冗余和资源浪费的瓶颈问题开拓了一条新道路, 也为其他学科发展提供
    了新的契机. 从发展历史和研究现状等方面入手, 对稀疏表示、测量矩阵的构造、稀疏重构算法和主要应用方面进行
    了详细的梳理和研究. 对当前研究的热点、难点作了分析和探讨, 并指出了未来的发展方向和应用前景.

    Abstract:

    The presence of compressed sensing theory makes the sample rate relate to the signal structure and content. The
    sample rate of compressed sensing for the signal sample, coding and reconstruction is less than the Nyquist theorem methods.
    Therefore, a method is proposed to solve the bottleneck problem of data redundancy and resource-wasting. Moreover, it offers
    new developing chances for other research fields. The development and current situation of compressed sensing theory are
    involved. A detailed carding and research on the sparse representation, measurement matrix design, reconstruction algorithm
    and application aspects is discussed. Therefore, the current hot spots and difficulties are analyzed and discussed. Finally, the
    direction of future development and application prospect are discussed.

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引用本文

尹宏鹏, 刘兆栋, 柴毅,等.压缩感知综述[J].控制与决策,2013,28(10):1441-1445

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历史
  • 收稿日期:2012-10-16
  • 最后修改日期:2013-01-25
  • 录用日期:
  • 在线发布日期: 2013-10-20
  • 出版日期: