首页> 外文OA文献 >Particle filtering, beamforming and multiple signal classification for the analysis of magnetoencephalography time series: a comparison of algorithms

【2h】

Particle filtering, beamforming and multiple signal classification for the analysis of magnetoencephalography time series: a comparison of algorithms

机译：磁性脑图时间序列分析的粒子滤波，波束成形和多信号分类：算法的比较

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Annalisa Pascarella; Alberto Sorrentino; Cristina Campi; Michele Piana;
展开▼
作者单位

展开▼
年度 2010
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Particle filtering, beamforming and multiple signal classification for the analysis of magnetoencephalography time series: A comparison of algorithms [J] . Pascarella A., Sorrentino A., Campi C., Inverse problems and imaging . 2010,第1期

机译：用于脑磁图时间序列分析的粒子滤波，波束成形和多信号分类：算法比较
2. Analysis of pain-related somatosensory evoked magnetic fields using the MUSIC (multiple signal classification) algorithm for magnetoencephalography. [J] . Ninomiya Y, Kitamura Y, Yamamoto S, Neuroreport . 2001,第8期

机译：使用MUSIC（多信号分类）算法进行脑磁图分析与疼痛相关的体感诱发磁场。
3. Low Cost Em Signal Spectral Analysis with Two Element Time Modulated Array System by Multiple Signal Classification Algorithms [J] . G. Balagurappa, J. Sreenivasa Reddy International Journal of Engineering Research and Applications . 2014,第3期

机译：基于多信号分类算法的两元素时间调制阵列系统的低成本Em信号频谱分析
4. Multiple signal classification algorithm compensated by Extended Kalman Particle Filtering for Wi-Fi through wall multi-target tracking [C] . Khaled E. Ahmed, Kareem M. Attiah, Ahmed S. Eltrass Proceedings of the 2016 IEEE-APS Topical Conference on Antennas and Propagationin Wireless Communications . 2016

机译：通过墙多目标跟踪，采用扩展卡尔曼粒子滤波补偿Wi-Fi的多信号分类算法
5. Beamforming of Broadband Bandpass Signals using Multidimensional FIR Filters [D] . Gunaratne, Thushara Kanchana 2011

机译：使用多维FIR滤波器的宽带带通信号的波束成形
6. Neural Circuits: Real-time particle filtering and smoothing algorithms for detecting abrupt changes in neural ensemble spike activity [O] . Sile Hu, Qiaosheng Zhang, Jing Wang, -1

机译：神经电路：实时粒子滤波和平滑算法用于检测神经集合突波活动的突然变化
7. Multiple Machine Learning Algorithms Comparison for Modulation Type Classification Based on Instantaneous Values of the Time Domain Signal and Time Series Statistics Derived from Wavelet Transform [O] . Inna Valieva, Iurii Voitenko, Mats Björkman, 2021

机译：基于小波变换的时域信号和时间序列统计的瞬时值的调制类型分类多机器学习算法
8. Development of Algorithms for Travel Time-Based Traffic Signal Timing, Phase I: A Hybrid Extended Kalman Filtering Approach for Traffic Density Estimation along Signalized Arterials [R] . Liu, H. X., Di, X. 2010

机译：基于行程时间的交通信号配时算法的发展，第一阶段：基于信号干线的交通密度估计的混合扩展卡尔曼滤波方法

Particle filtering, beamforming and multiple signal classification for the analysis of magnetoencephalography time series: a comparison of algorithms

著录项

引文网络

相似文献

相关主题

期刊订阅