Explicit Deconvolution of Well Test Data Dominated by Wellbore Storage by K. Razminia, A. Hashemi, A. Razminia, D. Baleanu

“…This paper addresses some methods for interpretation of oil and gas well test data distorted by wellbore storage effects. …”
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New technique revives direct deconvolution methods for Wellbore storage removal in pressure transient analysis by Mina S. Khalaf, Ahmed H. El-Banbi, M.H. Sayyouh

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Focal Spot Blur Reduction by Deconvolution on CT Projections by Lucas Determan, Kirk Busche, Pradeep Bhattad

“…Two approaches for acquiring the focal spot blur intensity profile are explored, as well as the subsequent removal of the induced blur in the CT projections via deconvolution. …”
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Applied aspects of modern non-blind image deconvolution methods by O.B. Chaganova, A.S. Grigoryev, D.P. Nikolaev, I.P. Nikolaev

“…We developed a benchmark for validating non-blind deconvolution methods, which includes datasets of ground truth images and blur kernels, as well as a test scheme for assessing restoration quality and error robustness. …”
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Exploration of Weak Peak Detection Method Based on Gamma Spectra Deconvolution by SONG Yiming, ZHOU Qianqian, CHEN Ye, LIU Dahai, ZHOU Hongzhao, XIAO Wuyun

“…To verify the feasibility and applicability of the method, the gamma spectra of weak source 137Cs disturbed by the Compton scattering continuum of high activity 60Co were simulated, and the gamma spectra of weak 137Cs and 152Eu sources disturbed by the Compton scattering continuum of high activity 60Co were measured, as well as the gamma spectra of weak source 137Cs. The simulated and measured results show that the significance of the weak peaks of 137Cs and 152Eu is markedly improved after deconvolution, and the peak-finding success rate increases greatly. …”
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Fault Detection Enhancement in Rolling Element Bearings Using the Minimum Entropy Deconvolution by Tomasz BARSZCZ, Nader SAWALHI

“…The MED parameter selection as well as its combination with pre-whitening is discussed. …”
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Pan-cancer immune and stromal deconvolution predicts clinical outcomes and mutation profiles by Bhavneet Bhinder, Verena Friedl, Sunantha Sethuraman, Davide Risso, Kami E. Chiotti, R. Jay Mashl, Kyle P. Ellrott, Jordan A. Lee, Christopher K. Wong, Kofi Gyan, Aditya Deshpande, Marcin Imielinski, Rohan Bareja, Josh Stuart, Myron Peto, Katherine A. Hoadley, Alexander J. Lazar, Andrew D. Cherniack, Jingchun Zhu, Shaolong Cao, Mark Rubin, Wenyi Wang, Oliver F. Bathe, Nicolas Robine, Li Ding, Peter W. Laird, Wanding Zhou, Hui Shen, Vésteinn Thorsson, Jen Jen Yeh, Matthew H. Bailey, Daniel Cui Zhou, Xianlu L. Peng, Mary Goldman, Yongsheng Li, Anil Korkut, Nidhi Sahni, D. Neil Hayes, Michael K. A. Mensah, Ina Felau, Anab Kemal, Samantha Caesar-Johnson, John A. Demchok, Liming Yang, Martin L. Ferguson, Roy Tarnuzzer, Zhining Wang, Jean C. Zenklusen, The Cancer Genome Atlas Analysis Network, Paul Spellman, Olivier Elemento

“…Our findings indicate that leukocytes play a major role in distinguishing various tumor types, and that a shared immune-rich TME cluster predicts better survival in bladder cancer for luminal and basal squamous subtypes, as well as in melanoma for RAS-hotspot subtypes. Our detailed deconvolution and mutational correlation analyses uncover 35 therapeutic target and candidate response biomarkers hypotheses (including CASP8 and RAS pathway genes).…”
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A Method for Identifying Thin Interbedded Lithological Interfaces Based on the Combination of Wavelet and Deconvolution by LI Zhipeng, HUANG Lisha, YAN Jianping, YANG Minglin, WU Hongcui, WANG Min

“…Finally, the deconvolution method is applied to the reconstructed GR curve for high-resolution processing, significantly enhancing the vertical resolution of the GR curve in response to thin-bedded lithology. …”
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Detection of Sedimentary Basins and Karstic Faults in the Yucatán Peninsula by Gravity Inversion and Euler Deconvolution by José Carlos Ortiz-Alemán, Mauricio Nava-Flores, Jaime Humberto Urrutia-Fucugauchi, Sebastián Ortiz-Aguilar, Mauricio Gabriel Orozco-del-Castillo, Sebastian López-Juárez

“…We applied a rapid 3D gravity inversion method, linear back projection (LBP), to Bouguer anomaly data, combined with Euler deconvolution to map shallow and deep fault systems. …”
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An improved reference library and method for accurate cell-type deconvolution of bulk-tissue miRNA data by Shaoying Zhu, Hui Yang, Jun Liu, Qingsheng Fu, Wei Huang, Qi Chen, Andrew E. Teschendorff, Yungang He, Zhen Yang

“…We show that our tool is accurate and robust for deconvolution in whole blood as well as in different solid tissues. …”
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Deconvolution of expression microarray data reveals 131I-induced responses otherwise undetected in thyroid tissue. by Britta Langen, Nils Rudqvist, Johan Spetz, Khalil Helou, Eva Forssell-Aronsson

“…Deconvolution also resolved an issue with detecting damage and stress responses in enriched data, and may reduce false negatives in other contexts as well. …”
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Benchmark of cellular deconvolution methods using a multi-assay dataset from postmortem human prefrontal cortex by Louise A. Huuki-Myers, Kelsey D. Montgomery, Sang Ho Kwon, Sophia Cinquemani, Nicholas J. Eagles, Daianna Gonzalez-Padilla, Sean K. Maden, Joel E. Kleinman, Thomas M. Hyde, Stephanie C. Hicks, Kristen R. Maynard, Leonardo Collado-Torres

“…The dataset, as well as the Mean Ratio gene marker finding method, is made available in the DeconvoBuddies R/Bioconductor package.…”
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Blind deconvolution estimation by multi-exponential models and alternated least squares approximations: Free-form and sparse approach. by Daniel U Campos-Delgado, Omar Gutierrez-Navarro, Ricardo Salinas-Martinez, Elvis Duran, Aldo R Mejia-Rodriguez, Miguel J Velazquez-Duran, Javier A Jo

“…The validation stage considered first synthetic datasets at different noise types and levels, and a comparison with the standard deconvolution techniques with a multi-exponential model for FLIM measurements, as well as, with two BDE methodologies in the state of the art: Laguerre basis, and exponentials library. …”
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Deconvolution of intergenic polymorphisms determining high expression of Factor H binding protein in meningococcus and their association with invasive disease. by Marco Spinsanti, Tarcisio Brignoli, Margherita Bodini, Lucia Eleonora Fontana, Matteo De Chiara, Alessia Biolchi, Alessandro Muzzi, Vincenzo Scarlato, Isabel Delany

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Deconvoluting Protein (Un)folding Structural Ensembles Using X-Ray Scattering, Nuclear Magnetic Resonance Spectroscopy and Molecular Dynamics Simulation. by Alexandr Nasedkin, Moreno Marcellini, Tomasz L Religa, Stefan M Freund, Andreas Menzel, Alan R Fersht, Per Jemth, David van der Spoel, Jan Davidsson

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Reference-free deconvolution of complex samples based on cross-cell-type differential analysis: Systematic evaluations with various feature selection options by Weiwei Zhang, Zhonghe Tian, Ling Peng

“…As a result, reference-free deconvolution has the potential to be widely applied due to its flexibility. …”
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Denoising and deconvolving CT images of unknown origin: comparing linear Wiener-deconvolution with deep convolutional neural network Noise2Inverse by Simon Zabler, Antoine Klos, Pierre Lhuissier, Luc Salvo, Maziyar Farahmandi, Simon Wittl

“…It may apply in 2D or 3D and requires merely estimates of the Signal-to-Noise Ratio SNR2 as well as the system Modulation Transfer Function (MTF). …”
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A Review of Key Signal Processing Techniques for Structural Health Monitoring: Highlighting Non-Parametric Time-Frequency Analysis, Adaptive Decomposition, and Deconvolution by Yixin Zhou, Zepeng Ma, Lei Fu

“…Additionally, deconvolution methods such as minimum entropy deconvolution (MED) and maximum correlated kurtosis deconvolution (MCKD) are discussed for mechanical fault diagnosis. …”
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Reverse Curve Fitting Approach for Quantitative Deconvolution of Closely Overlapping Triplets in Fourier Transform Nuclear Magnetic Resonance Spectroscopy Using Odd-Order Derivativ... by Shu-Ping Chen, Sandra M. Taylor, Sai Huang, Baoling Zheng

“…A more complicated overlapping NMR band of Tetraphenyl porphyrin was studied as well. This new approach to the deconvolutions is applicable to other FT spectroscopies.…”
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Non-Fragile H_∞ Deconvolution Filter Design for Uncertain Two-Dimensional Markovian Jump Systems With State-Varying Delays by Yakufu Kasimu, Gulijiamali Maimaitiaili

“…Furthermore, sufficient conditions for the mode and delay dependence of the non-fragile <inline-formula> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> deconvolution filter, as well as mode-dependent filter parameters, are achieved by using the linear matrix inequality (LMI) methods. …”
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