咨询与建议

限定检索结果

文献类型

  • 33 篇 会议
  • 1 篇 期刊文献

馆藏范围

  • 34 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 27 篇 工学
    • 23 篇 计算机科学与技术...
    • 17 篇 软件工程
    • 9 篇 信息与通信工程
    • 5 篇 电气工程
    • 4 篇 电子科学与技术(可...
    • 3 篇 动力工程及工程热...
    • 2 篇 控制科学与工程
    • 1 篇 力学(可授工学、理...
    • 1 篇 机械工程
    • 1 篇 光学工程
    • 1 篇 仪器科学与技术
    • 1 篇 建筑学
    • 1 篇 化学工程与技术
    • 1 篇 核科学与技术
    • 1 篇 农业工程
    • 1 篇 环境科学与工程(可...
    • 1 篇 生物工程
    • 1 篇 网络空间安全
  • 9 篇 理学
    • 4 篇 数学
    • 3 篇 化学
    • 2 篇 生物学
    • 1 篇 物理学
  • 5 篇 管理学
    • 3 篇 管理科学与工程(可...
    • 3 篇 图书情报与档案管...
    • 2 篇 工商管理
  • 1 篇 经济学
    • 1 篇 应用经济学
  • 1 篇 医学
    • 1 篇 特种医学

主题

  • 5 篇 signal processin...
  • 4 篇 signal processin...
  • 3 篇 estimation
  • 2 篇 signal to noise ...
  • 2 篇 vectors
  • 2 篇 computational mo...
  • 2 篇 costs
  • 2 篇 radar
  • 2 篇 microcomputers
  • 2 篇 machine learning...
  • 2 篇 stochastic proce...
  • 2 篇 radio frequency
  • 1 篇 sensor systems
  • 1 篇 low noise amplif...
  • 1 篇 catalytic sensor
  • 1 篇 probability dens...
  • 1 篇 smart homes
  • 1 篇 mechanical fault...
  • 1 篇 self-noise cance...
  • 1 篇 eigenvalues and ...

机构

  • 2 篇 teaching center ...
  • 2 篇 school of inform...
  • 2 篇 tianjin key labo...
  • 2 篇 department of el...
  • 1 篇 nanyang technolo...
  • 1 篇 institute of pho...
  • 1 篇 department of el...
  • 1 篇 tech univ cluj n...
  • 1 篇 niroo res inst h...
  • 1 篇 xìan eurasia uni...
  • 1 篇 univ liverpool d...
  • 1 篇 school of electr...
  • 1 篇 iiit delhi infos...
  • 1 篇 univ laval dept ...
  • 1 篇 pacific northwes...
  • 1 篇 school of inform...
  • 1 篇 surveillance sys...
  • 1 篇 univ liverpool d...
  • 1 篇 the sixty-third ...
  • 1 篇 univ loughboroug...

作者

  • 2 篇 sun guiling
  • 2 篇 ralph jason f.
  • 2 篇 wang hai
  • 2 篇 weiss stephan
  • 2 篇 jiang xiaomei
  • 2 篇 zhang ying
  • 2 篇 wang zhihong
  • 1 篇 coda elizabeth
  • 1 篇 ni bingqian
  • 1 篇 cantin audrey
  • 1 篇 davies mike
  • 1 篇 vann michael
  • 1 篇 chen wen-hua
  • 1 篇 junquan deng
  • 1 篇 spirjakin denis
  • 1 篇 ferhi oussama
  • 1 篇 bhole dheeral
  • 1 篇 marcus prochaska
  • 1 篇 kumar pawan
  • 1 篇 tian xiaoqing

语言

  • 34 篇 英文
检索条件"任意字段=11th Sensor Signal Processing for Defence Conference, SSPD 2022"
34 条 记 录,以下是1-10 订阅
排序:
Optimal Bernoulli point estimation with applications  11
Optimal Bernoulli point estimation with applications
收藏 引用
11th sensor signal processing for defence conference (sspd)
作者: Narykov, Alexey Uney, Murat Ralph, Jason F. Univ Liverpool Dept Elect Engn & Elect Liverpool L69 3BX Merseyside England
this paper develops optimal procedures for point estimation with Bernoulli filters. these filters are of interest to radar and sonar surveillance because they are designed for stochastic targets that can enter and exi... 详细信息
来源: 评论
Fast Trajectory Forecasting With Automatic Identification System Broadcasts  11
Fast Trajectory Forecasting With Automatic Identification Sy...
收藏 引用
11th sensor signal processing for defence conference (sspd)
作者: Wang, Yicheng Uncy, Murat Univ Liverpool Dept Elect Engn & Elect Liverpool L69 3GJ England
this work proposes a fast trajectory forecasting algorithm to use with automatic identification system (AIS) broadcasts of vessels. the algorithm involves fast sub-optimal model parameter estimation from AIS messages ... 详细信息
来源: 评论
Optimizing sonobuoy placement using multiobjective machine learning  11
Optimizing sonobuoy placement using multiobjective machine l...
收藏 引用
11th sensor signal processing for defence conference (sspd)
作者: Taylor, Christopher M. Maskell, Simon Ralph, Jason F. Univ Liverpool Dept Elect Engn & Elect Liverpool England
We present a new approach to finding optimal patterns for the placement of fields of sonobuoys in a complex undersea environment. the problem is modelled as a biobjective one, where the aim is to both minimize uncerta... 详细信息
来源: 评论
Enhanced Space-Time Covariance Estimation Based on a System Identification Approach  11
Enhanced Space-Time Covariance Estimation Based on a System ...
收藏 引用
11th sensor signal processing for defence conference (sspd)
作者: Khattak, Faizan A. Proudler, Ian K. Weiss, Stephan Univ Strathclyde Dept Elect & Elect Engn Glasgow G1 1XW Scotland
the error inflicted on a space-time covariance estimate due to the availability of only finite data is known to perturb the eigenvalues and eigenspaces of its z-domain equivalent, i.e., the cross-spectral density matr... 详细信息
来源: 评论
Learning Low-Rank Models From Compressive Measurements for Efficient Projection Design  11
Learning Low-Rank Models From Compressive Measurements for E...
收藏 引用
11th sensor signal processing for defence conference (sspd)
作者: Coutts, Fraser K. thompson, John Mulgrew, Bernard Univ Edinburgh Inst Digital Commun Edinburgh EH9 3FG Scotland
Recent research has uncovered information-theoretic means to design projection matrices in scenarios where one information source is compressively sampled in the presence of a secondary source. Furthermore, if both so... 详细信息
来源: 评论
A Polynomial Subspace Projection Approach for the Detection of Weak Voice Activity  11
A Polynomial Subspace Projection Approach for the Detection ...
收藏 引用
11th sensor signal processing for defence conference (sspd)
作者: Neo, Vincent W. Weiss, Stephan Naylor, Patrick A. Imperial Coll London Dept Elect & Elect Engn London England Univ Strathclyde Dept Elect & Elect Engn Glasgow Scotland
A voice activity detection (VAD) algorithm identifies whether or not time frames contain speech. It is essential for many military and commercial speech processing applications, including speech enhancement, speech co... 详细信息
来源: 评论
Compressive Self-Noise Cancellation in Underwater Acoustics  11
Compressive Self-Noise Cancellation in Underwater Acoustics
收藏 引用
11th sensor signal processing for defence conference (sspd)
作者: Kumar, Pawan Nathwani, Karan Abrol, Vinayak Kumar, Suresh IIT Jammu Dept Elect Engn Jammu India IIIT Delhi Infosys Ctr AI Delhi India NPOL Kochi Naval Res Board Kochi Kerala India
the purpose of sonar is to detect the stealthy target in shallow water. the main barrier to locating the target is sonar's self-noise. Existing subspace-based noise suppression methods typically employ eigenanalys... 详细信息
来源: 评论
2022 sensor signal processing for defence conference, sspd 2022 - Proceedings
2022 Sensor Signal Processing for Defence Conference, SSPD 2...
收藏 引用
11th sensor signal processing for defence conference, sspd 2022
the proceedings contain 21 papers. the topics discussed include: automatic approximation for 1-dimensional feedback-loop computations: a PID benchmark;efficient joint surface detection and depth estimation of single-p...
来源: 评论
Movement Classification and Segmentation Using Event-Based Sensing and Spiking Neural Networks  11
Movement Classification and Segmentation Using Event-Based S...
收藏 引用
11th sensor signal processing for defence conference (sspd)
作者: Kirkland, Paul Di Caterina, Gaetano Univ Strathclyde Neuromorph Sensor Signal Proc Lab Glasgow Scotland
the development of Spiking Neural Networks (SNN) and the discipline of Neuromorphic Engineering has resulted in a paradigm shift in how Machine Learning (ML) and Computer Vision (CV) problems are approached. At the he... 详细信息
来源: 评论
Deep Learning for Spectral Filling in Radio Frequency Applications  11
Deep Learning for Spectral Filling in Radio Frequency Applic...
收藏 引用
11th sensor signal processing for defence conference (sspd)
作者: Setzler, Matthew Coda, Elizabeth Rounds, Jeremiah Vann, Michael Girard, Michael Pacific Northwest Natl Lab Richland WA 99352 USA
Due to the Internet of things (IoT) proliferation, Radio Frequency (RF) channels are increasingly congested with new kinds of devices, which carry unique and diverse communication needs. this poses complex challenges ... 详细信息
来源: 评论