Speckle noise reduction for structural vibration measurement with laser Doppler vibrometer on moving platform
暂无分享,去创建一个
[1] Hongxin Zhang,et al. Speckle Noise Detection and Removal for Laser Speech Measurement Systems , 2021, Applied Sciences.
[2] M. Martarelli,et al. Continuous Scanning Laser Vibrometry: A raison d’être and applications to vibration measurements , 2021, Mechanical Systems and Signal Processing.
[3] Christian Rembe,et al. Analyzing real-time capability of raw laser-Doppler vibrometer signal combination for signal diversity , 2021, Optical Metrology.
[4] Zili Li,et al. Eliminating Speckle Noises for Laser Doppler Vibrometer Based on Empirical Wavelet Transform , 2021, 2021 13th International Conference on Measurement.
[5] Zili Li,et al. Fast and robust identification of railway track stiffness from simple field measurement , 2021 .
[6] Zili Li,et al. Design, calibration and validation of a wheel-rail contact force measurement system in V-Track , 2021, Measurement.
[7] Christian Rembe,et al. Signal Diversity for Laser-Doppler Vibrometers with Raw-Signal Combination , 2021, Sensors.
[8] A. Pirrotta,et al. Identification of Bending Modes of Vibration in Rails by a Laser Doppler Vibrometer on a Moving Platform , 2020, Experimental Techniques.
[9] P. Sava,et al. Speckle noise attenuation in orbital laser vibrometer seismology , 2020 .
[10] S. Uchida,et al. Noncontact detection of concrete flaws by neural network classification of laser doppler vibrometer signals , 2020, Engineering Research Express.
[11] Ma Yanjuan,et al. A novel wind turbine data imputation method with multiple optimizations based on GANs , 2020 .
[12] Mark F Spencer,et al. Improved adaptive-optics performance using polychromatic speckle mitigation. , 2020, Applied optics.
[13] Fernando Moreu,et al. Noncontact Dynamic Displacement Measurement of Structures Using a Moving Laser Doppler Vibrometer , 2019, Journal of Bridge Engineering.
[14] Shisong Wu,et al. The effect of speckles noise on the Laser Doppler Vibrometry for remote speech detection , 2019, Optics Communications.
[15] R. Baets,et al. Mitigation of speckle noise in laser Doppler vibrometry by using a scanning average method. , 2019, Optics letters.
[16] Da-Ming Chen,et al. Operational modal analysis using lifted continuously scanning laser Doppler vibrometer measurements and its application to baseline-free structural damage identification , 2019, Journal of Vibration and Control.
[17] Haydar Demirhan,et al. Missing value imputation for short to mid-term horizontal solar irradiance data , 2018, Applied Energy.
[18] Pascal Picart,et al. Strategies for reducing speckle noise in digital holography , 2018, Light: Science & Applications.
[19] Institut de Ciencies del Cosmos,et al. TFAW: Wavelet-based signal reconstruction to reduce photometric noise in time-domain surveys , 2017, Astronomy & Astrophysics.
[20] Rolf Dollevoet,et al. Development of a New Downscale Setup for Wheel-Rail Contact Experiments under Impact Loading Conditions , 2018, Experimental Techniques.
[21] Enrico Primo Tomasini,et al. An international review of laser Doppler vibrometry: Making light work of vibration measurement , 2017 .
[22] Zheng Xu,et al. Vibration analysis for slab track at different train speeds using Bayes wavelet denoising , 2017 .
[23] Jitkomut Songsiri,et al. Missing-data imputation for solar irradiance forecasting in Thailand , 2017, 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).
[24] Weidong Zhu,et al. Damage identification of beam structures using free response shapes obtained by use of a continuously scanning laser Doppler vibrometer system , 2017 .
[25] Y. F. Xu,et al. Damage Identification of Beams Using a Continuously Scanning Laser Doppler Vibrometer System , 2016 .
[26] Eugene J. O'Brien,et al. A mode shape‐based damage detection approach using laser measurement from a vehicle crossing a simply supported bridge , 2016 .
[27] Igi Ardiyanto,et al. A review of missing values handling methods on time-series data , 2016, 2016 International Conference on Information Technology Systems and Innovation (ICITSI).
[28] Xu Cai,et al. Frequency Domain Stability Analysis of MMC-Based HVdc for Wind Farm Integration , 2016, IEEE Journal of Emerging and Selected Topics in Power Electronics.
[29] C. Rembe,et al. D1.1 - Speckle-Insensitive Laser-Doppler Vibrometry with Adaptive Optics and Signal Diversity , 2015 .
[30] Shie-Jue Lee,et al. Time series forecasting with missing values , 2015, 2015 1st International Conference on Industrial Networks and Intelligent Systems (INISCom).
[31] Badia Amrouche,et al. Artificial neural network based daily local forecasting for global solar radiation , 2014 .
[32] Richard J. Povinelli,et al. Time series outlier detection and imputation , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.
[33] Fang Li,et al. A New Adaptive Weighted Mean Filter for Removing Salt-and-Pepper Noise , 2014, IEEE Signal Processing Letters.
[34] Alexander Dräbenstedt,et al. Diversity combining in laser Doppler vibrometry for improved signal reliability , 2014 .
[35] Rolf Dollevoet,et al. Measuring with laser Doppler vibrometer on moving frame (LDVMF) , 2014 .
[36] A. T. Sree Dhevi. Imputing missing values using Inverse Distance Weighted Interpolation for time series data , 2014, 2014 Sixth International Conference on Advanced Computing (ICoAC).
[37] P. Lutzmann,et al. Laser vibration sensing: overview and applications , 2011, Security + Defence.
[38] Gian Marco Revel,et al. Laser vibrometry vibration measurements on vehicle cabins in running conditions: helicopter mock-up application , 2011 .
[39] Marius A Albota,et al. Laser vibrometry from a moving ground vehicle. , 2011, Applied optics.
[40] Helena Veiga,et al. Wavelet-based detection of outliers in financial time series , 2010, Comput. Stat. Data Anal..
[41] Matthew S. Allen,et al. A new method for processing impact excited continuous-scan laser Doppler vibrometer measurements , 2010 .
[42] Robert B. Randall,et al. Avoidance of speckle noise in laser vibrometry by the use of kurtosis ratio: Application to mechanical fault diagnostics , 2008 .
[43] Matthew S. Allen,et al. Experimental Investigation of the Effect of Speckle Noise on Continuous Scan Laser Doppler Vibrometer Measurements , 2008 .
[44] Milena Martarelli,et al. Continuous scanning laser Doppler vibrometry and speckle noise occurrence , 2006 .
[45] Yozo Fujino,et al. Experimental study of laser Doppler vibrometer and ambient vibration for vibration-based damage detection , 2006 .
[46] Enrico Primo Tomasini,et al. Laser Doppler Vibrometry: Development of advanced solutions answering to technology's needs , 2006 .
[47] James M. Sabatier,et al. Speckle noise in a continuously scanning multibeam laser Doppler vibrometer for acoustic landmine detection , 2006, SPIE Defense + Commercial Sensing.
[48] Polytec,et al. 3-Dimensional Laser Doppler Vibration Analysis of Stradivarius Violins , 2006 .
[49] Brian Burns,et al. Mobile platform for acoustic mine detection applications , 2005, SPIE Defense + Commercial Sensing.
[50] Wei Jiang,et al. On-line outlier detection and data cleaning , 2004, Comput. Chem. Eng..
[51] Paolo Castellini,et al. Automotive components vibration measurements by tracking laser Doppler vibrometry: advances in signal processing , 2002 .
[52] Canan Bilen,et al. Wavelet-Based Detection of Outliers in Time Series , 2002 .
[53] Chandra Shakher,et al. Application of wavelet filtering for vibration analysis using digital speckle pattern interferometry , 2002 .
[54] Jing Lin,et al. Feature Extraction Based on Morlet Wavelet and its Application for Mechanical Fault Diagnosis , 2000 .
[55] Milena Martarelli,et al. Measuring area vibration mode shapes with a continuous-scan LDV , 2000, International Conference on Vibration Measurements by Laser Techniques: Advances and Applications.
[56] Quan Pan,et al. Two denoising methods by wavelet transform , 1999, IEEE Trans. Signal Process..
[57] Gian Marco Revel,et al. The influence of Operating Conditions on the Accuracy of In-plane Laser Doppler Velocimetry Measurements , 1999 .
[58] Y. Wen,et al. A simple nonlinear filter for economic time series analysis , 1999 .
[59] Alexandre Jouan,et al. Speckle filtering of SAR images: a comparative study between complex-wavelet-based and standard filters , 1997, Optics & Photonics.
[60] J R De Franca Arruda,et al. A Space-frequency Data Compression Method For Spatially Dense Laser Doppler Vibrometer Measurements , 1996 .
[61] Stéphane Mallat,et al. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[62] G. C. Tiao,et al. Estimation of time series parameters in the presence of outliers , 1988 .
[63] Jong-Sen Lee,et al. Speckle Suppression and Analysis for Synthetic Aperture Radar Images , 1985, Optics & Photonics.
[64] Jong-Sen Lee,et al. A simple speckle smoothing algorithm for synthetic aperture radar images , 1983, IEEE Transactions on Systems, Man, and Cybernetics.
[65] T. Nodes,et al. Median filters: Some modifications and their properties , 1982 .
[66] Richard H. Jones,et al. Maximum Likelihood Fitting of ARMA Models to Time Series With Missing Observations , 1980 .
[67] H. Akaike. A new look at the statistical model identification , 1974 .