相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Double Feature Extraction Method of Ship-Radiated Noise Signal Based on Slope Entropy and Permutation Entropy
Yuxing Li et al.
ENTROPY (2022)
Multi-Stage Feature Extraction and Classification for Ship-Radiated Noise
Hamada Esmaiel et al.
SENSORS (2022)
Coordinated Approach Fusing RCMDE and Sparrow Search Algorithm-Based SVM for Fault Diagnosis of Rolling Bearings
Jie Lv et al.
SENSORS (2021)
A novel signal feature extraction technology based on empirical wavelet transform and reverse dispersion entropy
Yu-xing Li et al.
Defence Technology (2020)
The Data-Driven Optimization Method and Its Application in Feature Extraction of Ship-Radiated Noise with Sample Entropy
Yuxing Li et al.
ENERGIES (2019)
A Hybrid Energy Feature Extraction Approach for Ship-Radiated Noise Based on CEEMDAN Combined with Energy Difference and Energy Entropy
Yuxing Li et al.
PROCESSES (2019)
A Feature Extraction Method of Ship-Radiated Noise Based on Fluctuation-Based Dispersion Entropy and Intrinsic Time-Scale Decomposition
Zhaoxi Li et al.
ENTROPY (2019)
Slope Entropy: A New Time Series Complexity Estimator Based on Both Symbolic Patterns and Amplitude Information
David Cuesta-Frau
ENTROPY (2019)
Reverse Dispersion Entropy: A New Complexity Measure for Sensor Signal
Yuxing Li et al.
SENSORS (2019)
Application of EEMD and improved frequency band entropy in bearing fault feature extraction
Hua Li et al.
ISA TRANSACTIONS (2019)
Amplitude- and Fluctuation-Based Dispersion Entropy
Hamed Azami et al.
ENTROPY (2018)
Imbalanced data fault diagnosis of rotating machinery using synthetic oversampling and feature learning
Yuyan Zhang et al.
JOURNAL OF MANUFACTURING SYSTEMS (2018)
A Novel Bearing Multi-Fault Diagnosis Approach Based on Weighted Permutation Entropy and an Improved SVM Ensemble Classifier
Shenghan Zhou et al.
SENSORS (2018)
A New Kind of Permutation Entropy Used to Classify Sleep Stages from Invisible EEG Microstructure
Christoph Bandt
ENTROPY (2017)
A Novel Feature Extraction Method for Ship-Radiated Noise Based on Variational Mode Decomposition and Multi-Scale Permutation Entropy
Yuxing Li et al.
ENTROPY (2017)
Spectral Decomposition for Hydrocarbon Detection Based on VMD and Teager-Kaiser Energy
Wei Liu et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)
Feature Extraction of Ship-Radiated Noise Based on Permutation Entropy of the Intrinsic Mode Function with the Highest Energy
Yu-Xing Li et al.
ENTROPY (2016)
Dispersion Entropy: A Measure for Time-Series Analysis
Mostafa Rostaghi et al.
IEEE SIGNAL PROCESSING LETTERS (2016)
On the dynamics of ocean ambient noise: Two decades later
Shashidhar Siddagangaiah et al.
CHAOS (2015)
Rolling Bearing Fault Diagnosis Based on Wavelet Packet Decomposition and Multi-Scale Permutation Entropy
Li-Ye Zhao et al.
ENTROPY (2015)
Robust underwater noise targets classification using auditory inspired time-frequency analysis
Shuguang Wang et al.
APPLIED ACOUSTICS (2014)
Variational Mode Decomposition
Konstantin Dragomiretskiy et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2014)
Defining a trend for time series using the intrinsic time-scale decomposition
Juan M. Restrepo et al.
NEW JOURNAL OF PHYSICS (2014)
Empirical Wavelet Transform
Jerome Gilles
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2013)
COMPLEMENTARY ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOVEL NOISE ENHANCED DATA ANALYSIS METHOD
Jia-Rong Yeh et al.
ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS (2010)
ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD
Zhaohua Wu et al.
ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS (2009)
The local mean decomposition and its application to EEG perception data
JS Smith
JOURNAL OF THE ROYAL SOCIETY INTERFACE (2005)
Permutation entropy: A natural complexity measure for time series
C Bandt et al.
PHYSICAL REVIEW LETTERS (2002)