Chirplet Signal and Empirical Mode Decompositions of Ultrasonic Signals for Echo Detection and Estimation

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Journal of Signal and Information Processing

ISSN Print: 2159-4465
ISSN Online: 2159-4481
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"Chirplet Signal and Empirical Mode Decompositions of Ultrasonic Signals for Echo Detection and Estimation"
written by Yufeng Lu, Erdal Oruklu, Jafar Saniie,
published by Journal of Signal and Information Processing, Vol.4 No.2, 2013

has been cited by the following article(s):

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[5]	Resolution Improvement of Ultrasonic Signals Using Sparse Deconvolution and Variational Mode Decomposition Algorithms
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[6]	An improved matching pursuit method for overlapping echo separation in ultrasonic thickness measurement
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[7]	A review on empirical mode decomposition in forecasting time series
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[8]	A High Performance Ultrasonic System for Flaw Detection
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[9]	Process Monitoring and Fault Detection using Empirical Mode Decomposition and Singular Spectrum Analysis
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[10]	Forecasting Stock Market Using hybrid EMD-EXP
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[11]	Chirplet Transform in Ultrasonic Non-Destructive Testing and Structural Health Monitoring: A Review
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[13]	Forecasting Performance Of Nonlinear And Nonstationary Stock Market Data Using Empirical Mode Decomposition
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[15]	A hybrid approach emd-hw for short-term forecasting of daily stock market time series data
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[16]	A hybrid emd-ma for forecasting stock market index
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[17]	Ultrasonic non destructive testing on aluminium forged bars
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[18]	A new hybrid approach EMD-EXP for short-term forecasting of daily stock market time series data
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[19]	Forecasting time series using emd-hw bagging
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[20]	Weld defect classification using 1-D LBP feature extraction of ultrasonic signals
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[21]	Approximation performance of model functions for blind deconvolution of ultrasonic reflections.
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[22]	A green's function-based Bi-dimensional empirical mode decomposition
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[23]	Reconfigurable accelerator design platform for ultrasonic signal processing and imaging applications
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[24]	A comparative study of singular spectrum analysis and empirical mode decomposition for ultrasonic NDE
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[25]	Approximation performance of model functions for blind deconvolution of ultrasonic reflections
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[26]	2069. Approximation performance of model functions for blind deconvolution of ultrasonic reflections
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[27]	Model-based parameter estimation for defect characterization in ultrasonic NDE applications
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[28]	Singular spectrum analysis for trend extraction in ultrasonic backscattered echoes
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[29]	Adaptive filtering and Fractional Fourier transform for ultrasonic signal processsing and flaw detection
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[30]	NDE applications of compressed sensing, signal decomposition and echo estimation
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[31]	Ultrasonic Signal Processing Platform for Nondestructive Evaluation
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[32]	Echo parameter estimation for ultrasonic NDE applications via a two-step compressed sensing
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[1]	An improved matching pursuit method for overlapping echo separation in ultrasonic thickness measurement Measurement Science and Technology, 2019 DOI:10.1088/1361-6501/ab03ba

[2]	Process Monitoring and Fault Detection using Empirical Mode Decomposition and Singular Spectrum Analysis IFAC-PapersOnLine, 2019 DOI:10.1016/j.ifacol.2019.09.190

[3]	A High Performance Ultrasonic System for Flaw Detection 2019 IEEE International Ultrasonics Symposium (IUS), 2019 DOI:10.1109/ULTSYM.2019.8926237

[4]	A High Performance Ultrasonic System for Flaw Detection 2019 IEEE International Ultrasonics Symposium (IUS), 2019 DOI:10.1109/ULTSYM.2019.8926280

[5]	Chirplet Transform in Ultrasonic Non-Destructive Testing and Structural Health Monitoring: A Review Engineering, Technology & Applied Science Research, 2019 DOI:10.48084/etasr.2470

[6]	Weld defect classification using 1-D LBP feature extraction of ultrasonic signals Nondestructive Testing and Evaluation, 2017 DOI:10.1080/10589759.2017.1299732

[7]	A hybrid approach EMD-HW for short-term forecasting of daily stock market time series data 2017 DOI:10.1063/1.4995933

[8]	A comparative study of singular spectrum analysis and empirical mode decomposition for ultrasonic NDE 2016 IEEE International Ultrasonics Symposium (IUS), 2016 DOI:10.1109/ULTSYM.2016.7728568

[9]	Reconfigurable accelerator design platform for ultrasonic signal processing and imaging applications 2016 IEEE International Ultrasonics Symposium (IUS), 2016 DOI:10.1109/ULTSYM.2016.7728642

[10]	A green’s function-based Bi-dimensional empirical mode decomposition Information Sciences, 2016 DOI:10.1016/j.ins.2016.01.089

[11]	Approximation performance of model functions for blind deconvolution of ultrasonic reflections Journal of Vibroengineering, 2016 DOI:10.21595/jve.2016.17240

[12]	Model-based parameter estimation for defect characterization in ultrasonic NDE applications 2015 IEEE International Ultrasonics Symposium (IUS), 2015 DOI:10.1109/ULTSYM.2015.0342

[13]	Singular spectrum analysis for trend extraction in ultrasonic backscattered echoes 2015 IEEE International Ultrasonics Symposium (IUS), 2015 DOI:10.1109/ULTSYM.2015.0440

[14]	Adaptive filtering and Fractional Fourier transform for ultrasonic signal processsing and flaw detection 2014 IEEE International Ultrasonics Symposium, 2014 DOI:10.1109/ULTSYM.2014.0480

[15]	NDE applications of compressed sensing, signal decomposition and echo estimation 2014 IEEE International Ultrasonics Symposium, 2014 DOI:10.1109/ULTSYM.2014.0479

[16]	Echo parameter estimation for ultrasonic NDE applications via a two-step compressed sensing 2013 IEEE International Ultrasonics Symposium (IUS), 2013 DOI:10.1109/ULTSYM.2013.0248

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