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1. Full Text Sparse multichannel blind deconvolution
by Kazemi, Nasser and Sacchi, Mauricio D
Geophysics, ISSN 0016-8033, 2013, Volume 79, Issue 5, pp. V143 - V152
Physical Sciences | Science & Technology | Geochemistry & Geophysics | Wavelet | Deconvolution | Multichannel | Noise | Breaking | Mathematical analysis | Impulse response | Blinds
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2. Full Text Sparse Bayesian Learning-Based Time-Variant Deconvolution
by Sanyi Yuan and Shangxu Wang and Ming Ma and Yongzhen Ji and Li Deng
IEEE transactions on geoscience and remote sensing, ISSN 0196-2892, 11/2017, Volume 55, Issue 11, pp. 6182 - 6194
Earth | Time-frequency analysis | thin bed | Deconvolution | Convolution | sparse Bayesian learning (SBL) | sparse representations | Bayesian framework | inverse problems | Attenuation | Bayes methods | Dispersion | deconvolution | Engineering | Physical Sciences | Technology | Engineering, Electrical & Electronic | Remote Sensing | Imaging Science & Photographic Technology | Science & Technology | Geochemistry & Geophysics | Traveltime | Wave attenuation | Filtration | Methodology | Probability theory | Imaging techniques | Exploration | Seismic exploration | Remote sensing | Wavelet | Image quality | Artifacts | Reflectors | Clonal deletion | Seismograms | Capacity | Quality | Machine learning | Deletion | Regularization | Bayesian analysis | Reflectance
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3. Full Text Multi-Wiener SURE-LET Deconvolution
by Feng Xue and Luisier, F and Blu, T
IEEE transactions on image processing, ISSN 1057-7149, 05/2013, Volume 22, Issue 5, pp. 1954 - 1968
multi-Wiener filtering | Deconvolution | Gaussian noise | Noise reduction | stein's unbiased risk estimate (SURE) minimization | Transforms | Minimization | Vectors | Approximation methods | undecimated Haar-wavelet thresholding | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Signal and communications theory | Image processing | Telecommunications and information theory | Exact sciences and technology | Signal, noise | Signal processing | Applied sciences | Information, signal and communications theory | Detection, estimation, filtering, equalization, prediction | Wavelet transforms | Usage | Innovations | Approximation theory | Mathematical optimization | Methods
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4. Full Text Shearlet-Based Deconvolution
by Patel, V.M and Easley, G.R and Healy, D.M
IEEE transactions on image processing, ISSN 1057-7149, 12/2009, Volume 18, Issue 12, pp. 2673 - 2685
Performance evaluation | Noise reduction | generalized cross validation | Image restoration | Degradation | Deconvolution | shearlets | wavelets | Automatic control | Approximation error | Approximation algorithms | Cameras | Testing | Generalized cross validation | Wavelets | Shearlets | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Signal processing | Applied sciences | Information, signal and communications theory | Image processing | Telecommunications and information theory | Exact sciences and technology | Wavelet analysis | Usage | Research | Noise control | Analysis | Studies | Algorithms | Mathematical analysis | Noise | Images | Estimating | Decomposition
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5. Full Text Wavelet deconvolution
by Jianqing Fan and Ja-Yong Koo
IEEE transactions on information theory, ISSN 0018-9448, 03/2002, Volume 48, Issue 3, pp. 734 - 747
Wavelet transforms | Linear estimators | Wavelet bases | Kullback-Leibler information | Thresholding | Minimax estimation | Adaptive estimation | Besov spaces | Kernels | Waveforms | Density functionals | Analysis | Microwaves | Information systems | Wavelet | Deconvolution | Minimax technique | Convolution | Density | Estimators | Convergence
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6. Full Text Richardson-Lucy blind deconvolution of spectroscopic data with wavelet regularization
by Liu, Hai and Zhang, Zhaoli and Liu, Sanya and Liu, Tingting and Yan, Luxin and Zhang, Tianxu
Applied optics (2004), ISSN 1559-128X, 03/2015, Volume 54, Issue 7, pp. 1770 - 1775
Optics | Physical Sciences | Science & Technology | Wavelet transforms | Raman spectroscopy | Poisson distribution | Analysis | Methods | Wavelet | Deconvolution | Computer simulation | Preserves | Feature extraction | Spectra | Blinds | Regularization
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7. Full Text Sparsity‐enhanced wavelet deconvolution
by Ferber, Ralf and Momoh, Ekeabino
Geophysical Prospecting, ISSN 0016-8025, 06/2018, Volume 66, Issue 5, pp. 1004 - 1018
Physical Sciences | Science & Technology | Geochemistry & Geophysics | Amplitude | Deconvolution | Filtration | Sparsity | Spectrum allocation | Unity | Bandwidths | Bandwidth | Wavelet analysis | Data | Temperature (air-sea) | Reflectance
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8. Full Text Asymptotic normality for wavelet deconvolution density estimators
by Liu, Youming and Zeng, Xiaochen
Applied and computational harmonic analysis, ISSN 1063-5203, 01/2020, Volume 48, Issue 1, pp. 321 - 342
Wavelet estimator | Deconvolution | Density function | Central limit theorem | Physical Sciences | Mathematics | Mathematics, Applied | Science & Technology
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9. Full Text A Fast Thresholded Landweber Algorithm for Wavelet-Regularized Multidimensional Deconvolution
by Vonesch, C and Unser, M
IEEE transactions on image processing, ISSN 1057-7149, 04/2008, Volume 17, Issue 4, pp. 539 - 549
Multidimensional systems | Flexible printed circuits | thresholding | ell^{1} -regularization | Fluorescence | Optical imaging | iterative | sparsity | 3-D | nonlinear | Computational complexity | fluorescence microscopy | Convergence | Wavelet coefficients | Deconvolution | Optical microscopy | fast | wavelets | Cost function | Wavelets | Nonlinear | Sparsity | Thresholding | regularization | Iterative | Fast | Fluorescence microscopy | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Signal and communications theory | Miscellaneous | Image processing | Telecommunications and information theory | Exact sciences and technology | Signal, noise | Signal processing | Applied sciences | Information, signal and communications theory | Signal representation. Spectral analysis | Reproducibility of Results | Algorithms | Information Storage and Retrieval - methods | Microscopy, Fluorescence - methods | Time Factors | Image Interpretation, Computer-Assisted - methods | Sensitivity and Specificity | Imaging, Three-Dimensional - methods | Signal Processing, Computer-Assisted | Image Enhancement - methods | Studies | Index Medicus | Wavelet | Microscopy | Data sets | Iterative methods | Optimization
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10. Full Text Multichannel Semi-blind Deconvolution (MSBD) of seismic signals
by Mirel, Merabi and Cohen, Israel
Signal processing, ISSN 0165-1684, 06/2017, Volume 135, pp. 253 - 262
Wavelet estimation | Sparse deconvolution | Semi-blind | Multichannel deconvolution | Reflectivity recovery | Seismic deconvolution | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Analysis | Algorithms | Machine learning
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11. Full Text Seismic deconvolution and inversion with erratic data
by Dai, Ronghuo and Yin, Cheng and Yang, Shasha and Zhang, Fanchang
Geophysical Prospecting, ISSN 0016-8025, 11/2018, Volume 66, Issue 9, pp. 1684 - 1701
Total variation | Inversion | Erratic data | Sparse signal representation | Seismic deconvolution | Physical Sciences | Science & Technology | Geochemistry & Geophysics | Error analysis | Methodology | Wavelet | Deconvolution | Inverse problems | Robustness (mathematics) | Outliers (statistics) | Seismology | Seismic surveys | Constraint modelling | Seismic studies | Representations | Computing time | Regularization | Seismic data
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12. Full Text Sparse Blind Deconvolution of Ground Penetrating Radar Data
by Jazayeri, Sajad and Kazemi, Nasser and Kruse, Sarah
IEEE transactions on geoscience and remote sensing, ISSN 0196-2892, 06/2019, Volume 57, Issue 6, pp. 3703 - 3712
Earth | Deconvolution | Ground penetrating radar | source wavelet | Convolution | Geophysics | ground penetrating radar (GPR) | sparsity | reflectivity | Kernel | Optimization | Engineering | Physical Sciences | Technology | Engineering, Electrical & Electronic | Remote Sensing | Imaging Science & Photographic Technology | Science & Technology | Geochemistry & Geophysics | Wavelet | Algorithms | Radar data | Radar | Data | Iterative methods | Reflectance | Convergence
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13. Full Text ForWaRD: Fourier-wavelet regularized deconvolution for ill-conditioned systems
by Neelamani, R and Hyeokho Choi and Baraniuk, R
IEEE transactions on signal processing, ISSN 1053-587X, 02/2004, Volume 52, Issue 2, pp. 418 - 433
Degradation | Deconvolution | Wavelet domain | AWGN | Convolution | Gaussian noise | Additive white noise | Cameras | Educational institutions | Colored noise | Deblurring | Wavelets | Wavelet-vaguelette | Restoration | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Signal and communications theory | Image processing | Telecommunications and information theory | Exact sciences and technology | Signal, noise | Signal processing | Applied sciences | Information, signal and communications theory | Detection, estimation, filtering, equalization, prediction | Fourier transforms | Economics | Wavelet | Fourier analysis | Representations | Shrinkage | Regularization | Optimization
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14. Full Text Bayesian wavelet-based image deconvolution: a GEM algorithm exploiting a class of heavy-tailed priors
by Bioucas-Dias, J.M
IEEE transactions on image processing, ISSN 1057-7149, 04/2006, Volume 15, Issue 4, pp. 937 - 951
GSM | Maximum a posteriori estimation | Wavelet domain | Noise reduction | Bayesian | heavy-tailed priors | expectation maximization (EM) | Computational complexity | Wavelet coefficients | Sufficient conditions | Deconvolution | Bayesian methods | generalized expectation maximization (GEM) | wavelet | Iterative algorithms | Gaussian scale mixtures (GSM) | Wavelet | Expectation maximization (EM) | Generalized expectation maximization (GEM) | Heavy-tailed priors | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Signal and communications theory | Miscellaneous | Image processing | Telecommunications and information theory | Exact sciences and technology | Signal, noise | Signal processing | Applied sciences | Information, signal and communications theory | Signal representation. Spectral analysis | Detection, estimation, filtering, equalization, prediction | Reproducibility of Results | Algorithms | Information Storage and Retrieval - methods | Numerical Analysis, Computer-Assisted | Computer Simulation | Image Interpretation, Computer-Assisted - methods | Sensitivity and Specificity | Bayes Theorem | Signal Processing, Computer-Assisted | Image Enhancement - methods | Models, Statistical | Wavelet analysis | Analysis | Gaussian processes | Studies | Index Medicus | Maximization | Mathematical analysis | Images | Gaussian | Mathematical models | Bayesian analysis | Density
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