.png){kind=icon}
返回
Feature Extraction Using Parameterized Multisynchrosqueezing Transform
.png){kind=icon}
PRE
AI
DOI：10.1109/JSEN.2022.3179165.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Parametrized time-frequency analysis (PTFA) can effectively improve time-frequency energy aggregation of non-stationary signal and immunity of cross term interference, but it exists the energy diffusion near the real instantaneous frequency. The improved multi-synchrosqueezing transform (IMSST) can improve the time-frequency energy aggregation, but it still has defects in processing strong FM and AM signals under noise interference. Therefore, in order to make use of their advantages and overcome their disadvantages, a novel parametrized multi-synchrosqueezing transform method based on weighted least square, IMSST and PTFA, namely PMSST is proposed in this paper. In the PMSST, the IMSST is designed to obtain the signal time-frequency representation with high energy aggregation. Then the ridge extraction algorithm is employed to extract the instantaneous frequency ridges of each mono-component signal. The weighted least square method is used to estimate the parameters of parameterized transform kernel. Finally, time-frequency spectrum is superimposed to obtain the time-frequency energy representation of the enhanced signal. The experiment results show that the PMSST can effectively process non-stationary signals with varying instantaneous frequency by the simulated signal and actual fault signals.
Keyword:
Time-frequency analysis
Transforms
Kernel
Sensors
Feature extraction
Interference
Frequency modulation
Parametrized time-frequency analysis
synchrosqueezing transform
weighted least squares
instantaneous frequency
feature extraction
期刊
IF:
4.5
论文数:
2.2W
被引数:
7.3W
机构
引用论文
.png){kind=icon}
Memory strategies used by young normal and retarded children in a directed forgetting paradigm正常与迟滞儿童在定向遗忘范式中所使用的记忆策略
PREAI
分享收藏Unsupervised Cross-Domain Fault Diagnosis Using Feature Representation Alignment Networks for Rotating Machinery基于特征表示对齐网络的旋转机械无监督跨域故障诊断
PREAI
分享收藏CO2 Reduction Assessment of Alkali-Activated Concrete Based on Korean Life-Cycle Inventory Database
PREAI
分享收藏分享收藏
Time-Frequency Analysis of Seismic Data Using Synchrosqueezing Transform基于同步queezing变换的地震数据时频分析
PREAI
分享收藏
查看更多内容