机构

• 地质与地球物理研究所 [2]
• 长春光学精密机械与物... [2]
• 自动化研究所 [2]
• 计算技术研究所 [1]
• 国家空间科学中心 [1]
• 云南天文台 [1]
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采集方式

• OAI收割 [10]

内容类型

• 期刊论文 [6]
• 会议论文 [4]

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• 2023 [1]
• 2021 [1]
• 2020 [1]
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学科主题

• 天文学 [1]

筛选

浏览/检索结果: 共10条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序作者升序作者降序题名升序题名降序发表日期升序发表日期降序 Seismic Signal Analysis Based on Adaptive Variational Mode Decomposition for High-speed Rail Seismic Waves 期刊论文  OAI收割 APPLIED GEOPHYSICS, 2023, 页码: 14 作者:  Lei, Yang;  Liu, Lu;  Bai, Wen-lei;  Feng, Hai-xin;  Wang, Zhi-yang   |  收藏  |  浏览/下载：29/0  |  提交时间：2024/01/09 High-speed rail seismic signal  Variational mode decomposition (VMD)  Optimization algorithm  Time-frequency analysis   A Revised Hilbert-Huang Transformation to Track Non-Stationary Association of Electroencephalography Signals 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2021, 卷号: 29, 页码: 841-851 作者:  Shan, Xiaocai;  Huo, Shoudong;  Yang, Lichao;  Cao, Jun;  Zou, Jiaru   |  收藏  |  浏览/下载：49/0  |  提交时间：2021/10/19 Electroencephalography  Time-frequency analysis  Transforms  Wavelet transforms  Oscillators  Signal resolution  Physiology  EEG  transient connectivity  cross-spectrum  Hilbert Huang transform   Interference Cancellation Based Channel Estimation for Massive MIMO Systems With Time Shifted Pilots 期刊论文  OAI收割 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2020, 卷号: 19, 期号: 10, 页码: 6826-6843 作者:  Sun, Bule;  Zhou, Yiqing;  Yuan, Jinhong;  Shi, Jinglin   |  收藏  |  浏览/下载：40/0  |  提交时间：2020/12/10 Channel estimation  Interference  Antennas  Massive MIMO  Data communication  Time-frequency analysis  Signal to noise ratio  Finite antenna massive MIMO systems  pilot contamination  time shifted pilot   Polarimetric MDS of pedestrian 期刊论文  OAI收割 ELECTRONICS LETTERS, 2018, 卷号: 54, 期号: 17, 页码: 1051-1052 作者:  Kang, Wenwu;  Zhang, Yunhua;  Dong, Xiao;  Kang, WW (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, CAS Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China.   |  收藏  |  浏览/下载：44/0  |  提交时间：2018/10/12 Radar Polarimetry  Motion Estimation  Electromagnetic Wave Scattering  Time-frequency Analysis  Object Detection  Radar Signal Processing  Polarimetric Mds  Radar Observation  Signature Identification  Human Motions  Social Security Operation  Social Rescue Operation  Polarimetric Microdoppler Signatures  Motion-captured Dataset  Carnegie Mellon University Motion Graphic Laboratory  Feko  Matlab  Radar Scattering Calculation  Time-frequency Diagram  Hh Microdoppler  Ka-band Radar Experiment   Multi-scale signal transform and application of solar time series through phase analysis 会议论文  OAI收割 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016, Datong, China, 2016-10-15 作者:  Deng LH(邓林华) 收藏  |  浏览/下载：34/0  |  提交时间：2017/04/28 statistical signal processing  time-frequency data analysis  wavelet coherence transform   A Real-Time Weighted-Eigenvector MUSIC Method for Time-Frequency Analysis of Electrogastrogram Slow Wave 会议论文  OAI收割 Buenos Aires, ARGENTINA, August 30 - September 4, 2010 作者:  Qin SJ(秦书嘉);  Miao L(缪磊);  Wang YC(王越超);  Yang, Chunmin   |  收藏  |  浏览/下载：26/0  |  提交时间：2012/06/06 Multiple Signal Classification (Music)  Time-frequency Analysis  Electrogastrogram (Egg)  Slow Wave   Adaptive signal decomposition based on local narrow band signals 期刊论文  OAI收割 IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2008, 卷号: 56, 期号: 7, 页码: 2669-2676 作者:  Peng, Silong;  Hwang, Wen-Liang 收藏  |  浏览/下载：27/0  |  提交时间：2015/11/08 Adaptive signal decomposition, embedded mode decomposition, time-frequency analysis   Adaptive signal decomposition based on local narrow band signals 期刊论文  OAI收割 IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2008, 卷号: 56, 期号: 7, 页码: 2669-2676 作者:  Peng, Silong;  Hwang, Wen-Liang 收藏  |  浏览/下载：20/0  |  提交时间：2015/11/08 Adaptive signal decomposition, embedded mode decomposition, time-frequency analysis   A high-accuracy parameter estimation algorithm for jointless Frequency-shift track circuit (EI CONFERENCE) 会议论文  OAI收割 ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2008, August 3, 2008 - August 4, 2008, Guangzhou, China 作者:  Zheng X. 收藏  |  浏览/下载：38/0  |  提交时间：2013/03/25 FSK (Frequency Shift keying) signal  which has advantages of narrow-bandwidth  strong anti-interference ability  long transmission distance and so on  is used in jointless Frequency-shift track circuit to send different kinds of control signals. However  as FSK is non-linearly modulated  parameter estimation with high accuracy is hard to realize. Based on the spectrum analysis complement with time-frequency distribution  a highaccuracy FSK signal parameter estimation algorithm is put forward in this paper. According to the signal characteristics  under-sampling and ZFFT are used to improve the accuracy of spectrum analysis  and the base frequency resolution meets system requirement of 0.02Hz. Wigner-Ville distribution has an excellent time-frequency concentration while serious cross-term interference at the same time. Through the design of kernel function  the cross-terms are almost suppressed and the upper/down side frequency resolution meets the system requirement of 0.2Hz. The effectivities of all the methods mentioned above have been proved by MATLAB simulation  which pave a solid way for the development of high-accuracy FSK signal parameter estimation devices. 2008 IEEE.   Arc fault signatures detection on aircraft wiring system (EI CONFERENCE) 会议论文  OAI收割 6th World Congress on Intelligent Control and Automation, WCICA 2006, June 21, 2006 - June 23, 2006, Dalian, China Hongkun Z.; Tao C.; Wenjun L. 收藏  |  浏览/下载：38/0  |  提交时间：2013/03/25 In this paper an arc fault detection method Is proposed based on characteristics of the fault current of an electric arc. A localized signal processing method Is developed using wavelet analysis to decompose the differential current signal Into a series of wavelet components  each of which Is a time-domain signal that covers a specific frequency band. Thus  more distinctive signal features that represent arc faults and other fault transient phenomena are extracted. As a result  by quantifying the extracted features  an arc faults are distinguished from phenomena similar to arc and other fault transients using the differences In the quantified features. Simulation studies have demonstrated that the proposed method Is reliable and simple. 2006 IEEE.