...用PDF文档下载 - 第一文档网 Key words:sequential Monte Carlo; resampling; stratified; residual 摘 要: 近年来序列蒙特卡罗理论及其应用在自动导航, 非线性估计与金融等诸多领域受到了越来[gap=236]关键词: 序列蒙特卡罗; 重采样; 分层; 残差 DOI: 10.3778...
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In this dissertation, sequential monte carlo method and its applications incommunication are investigated.
论文主要讨论了序列蒙特卡罗方法及其在通信中的应用。
参考来源 - 序列蒙特卡罗方法及其在通信中的应用Finally, forecasting method of system survivability based on Sequential Monte Carlo is studied.
最后,研究基于序列蒙特卡罗的系统生存性预测方法。
参考来源 - 任务关键系统生存性形式化建模与分析·2,447,543篇论文数据，部分数据来源于NoteExpress
我们将稀疏贝叶斯学习与序列蒙特卡罗盲均衡算法结合，提高了原算法的性能。
We integrate the Sparse Bayesian Learning algorithm into the SMC blind receiver to improve the performance under sparse channels.
结合图像的灰度分布和空间布局，提出了一种基于灰度和空间信息的序列蒙特卡罗概率跟踪算法。
Incorporating intensity distribution and spatial layout, this paper proposes a sequential Monte Carlo probabilistic tracking algorithm using intensity and spatial information.
近年来序列蒙特卡罗理论及其应用在自动导航﹑非线性估计与金融等诸多领域受到了越来越广泛的关注。
Recently, sequential Monte Carlo theory has been applied abroad in different domains such as self-determined navigation, non-linear estimation and finance, and it attracts researchers more and more.
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