Reduced Cycle Spinning Method for the Undecimated Wavelet Transform
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[1] A Ramos,et al. Noise reduction in ultrasonic NDT using undecimated wavelet transforms. , 2006, Ultrasonics.
[2] R. Coifman,et al. Fast wavelet transforms and numerical algorithms I , 1991 .
[3] Meng Li,et al. Fast Translation Invariant Multiscale Image Denoising , 2015, IEEE Transactions on Image Processing.
[4] Alireza Entezari,et al. Joint Inverse Problems for Signal Reconstruction via Dictionary Splitting , 2017, IEEE Signal Processing Letters.
[5] Frank Ong,et al. Robust 4D flow denoising using divergence‐free wavelet transform , 2015, Magnetic resonance in medicine.
[6] Thomas Aaron Gulliver,et al. Random-Noise Denoising and Clutter Elimination of Human Respiration Movements Based on an Improved Time Window Selection Algorithm Using Wavelet Transform , 2018, Sensors.
[7] S. Mallat. A wavelet tour of signal processing , 1998 .
[8] Miguel A. Rodriguez-Hernandez,et al. Noise reduction using wavelet cycle spinning: analysis of useful periodicities in the z-transform domain , 2016, Signal Image Video Process..
[9] M. A. Rodriguez-Hernandez,et al. Wavelet Cycle Spinning Denoising of NDE Ultrasonic Signals Using a Random Selection of Shifts , 2015 .
[10] I. Johnstone,et al. Ideal spatial adaptation by wavelet shrinkage , 1994 .
[11] C. Burrus,et al. Introduction to Wavelets and Wavelet Transforms: A Primer , 1997 .
[12] David L. Donoho,et al. De-noising by soft-thresholding , 1995, IEEE Trans. Inf. Theory.
[13] I. Johnstone,et al. Wavelet Threshold Estimators for Data with Correlated Noise , 1997 .
[14] Joseph L. Rose,et al. Split spectrum processing: optimizing the processing parameters using minimization , 1987 .
[15] I. Johnstone,et al. Adapting to Unknown Smoothness via Wavelet Shrinkage , 1995 .
[16] Mark J. Shensa,et al. The discrete wavelet transform: wedding the a trous and Mallat algorithms , 1992, IEEE Trans. Signal Process..
[17] G. Beylkin,et al. On the representation of operators in bases of compactly supported wavelets , 1992 .
[18] Jun Lin,et al. Electromagnetic noise reduction in grounded electrical‐source airborne transient electromagnetic signal using a stationarywavelet‐based denoising algorithm , 2017 .
[19] Miguel A. Rodriguez-Hernandez,et al. Denoising of hepatic signals with Partial Cycle Spinning , 2016, 2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE).
[20] Wei Liu,et al. A Novel Adaptive Signal Processing Method Based on Enhanced Empirical Wavelet Transform Technology , 2018, Sensors.
[21] Miguel A. Rodriguez-Hernandez. Shift selection influence in partial cycle spinning denoising of biomedical signals , 2016, Biomed. Signal Process. Control..
[22] Danilo P. Mandic,et al. Translation invariant multi-scale signal denoising based on goodness-of-fit tests , 2017, Signal Process..
[23] Deepika Hazarika,et al. SAR Image Despeckling Based on a Mixture of Gaussian Distributions with Local Parameters and Multiscale Edge Detection in Lapped Transform Domain , 2016 .
[24] E. Pardo,et al. Shift Invariant Wavelet Denoising of Ultrasonic Traces , 2008 .
[25] F. Vasconcelos,et al. A comparison of cycle spinning versus stationary wavelet transform for the extraction of features of partial discharge signals , 2016, IEEE Transactions on Dielectrics and Electrical Insulation.
[26] Wlodek Kulesza,et al. A Wavelet Transform-Based Neural Network Denoising Algorithm for Mobile Phonocardiography , 2019, Sensors.
[27] D. Donoho,et al. Translation-Invariant De-Noising , 1995 .
[28] Stéphane Mallat,et al. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[29] J. C. Lázaro,et al. Influence of thresholding procedures in ultrasonic grain noise reduction using wavelets. , 2002, Ultrasonics.