Fast Blind Instrument Function Estimation Method for Industrial Infrared Spectrometers
暂无分享,去创建一个
Hai Liu | Alan M. Lesgold | Zengzhao Chen | Tingting Liu | A. Lesgold | Zengzhao Chen | Hai Liu | Tingting Liu
[1] Ronei J. Poppi,et al. Direct analysis of the main chemical constituents in Chenopodium quinoa grain using Fourier transform near-infrared spectroscopy , 2015 .
[2] Tom Goldstein,et al. The Split Bregman Method for L1-Regularized Problems , 2009, SIAM J. Imaging Sci..
[3] Jianwen Sun,et al. Adaptive total variation-based spectral deconvolution with the split Bregman method. , 2014, Applied optics.
[4] Yan Li,et al. High spectral specificity of local chemical components characterization with multichannel shift-excitation Raman spectroscopy , 2015, Scientific Reports.
[5] Paul Benjamin Crilly. Increased throughput for process chromatography using constrained deconvolution , 1992, IEEE Trans. Ind. Electron..
[6] V. Lorenz-Fonfria,et al. Maximum Entropy Deconvolution of Infrared Spectra: Use of a Novel Entropy Expression without Sign Restriction , 2005, Applied spectroscopy.
[7] Hai Liu,et al. A MAP-based algorithm for spectroscopic semi-blind deconvolution. , 2012, The Analyst.
[8] Nahum Kiryati,et al. Semi-blind image restoration via Mumford-Shah regularization , 2006, IEEE Transactions on Image Processing.
[9] A. Peirs,et al. Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review , 2007 .
[10] Sanya Liu,et al. Spectral blind deconvolution with differential entropy regularization for infrared spectrum , 2015 .
[11] Tianxu Zhang,et al. Multi-order blind deconvolution algorithm with adaptive Tikhonov regularization for infrared spectroscopic data , 2015 .
[12] Hu Zhu,et al. Spectral restoration using semi-blind deconvolution method with detail-preserving regularization , 2015 .
[13] P. Jansson. Deconvolution of images and spectra , 1997 .
[14] Que Pei-wen,et al. Sparsity enhancement for blind deconvolution of ultrasonic signals in nondestructive testing application. , 2008, The Review of scientific instruments.
[15] Michael K. Ng,et al. Blind Deconvolution Using Generalized Cross-Validation Approach to Regularization Parameter Estimation , 2011, IEEE Transactions on Image Processing.
[16] Nelson M. Hoffman,et al. Monte-Carlo error analysis in x-ray spectral deconvolution , 1985 .
[17] Ziqiang Hu,et al. High-order cumulant-based blind deconvolution of Raman spectra. , 2005, Applied optics.
[18] Junbin Gao,et al. Compression of Infrared Spectral Data Using the Fast Wavelet Transform Method , 1997 .
[19] 颜露新,et al. Spectral deconvolution and feature extraction with robust adaptive tikhonov regularization , 2013 .
[20] P. Ziółkowski,et al. Improvement of spatial resolution for local Seebeck coefficient measurements by deconvolution algorithm. , 2009, The Review of scientific instruments.
[21] VÍCTOR A. LÓRENZ-FONFRÍA,et al. The Role and Selection of the Filter Function in Fourier Self-Deconvolution Revisited , 2009, Applied spectroscopy.
[22] Dianne P. O'Leary,et al. The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems , 1993, SIAM J. Sci. Comput..
[23] Hao Zhang,et al. FBRDLR: Fast blind reconstruction approach with dictionary learning regularization for infrared microscopy spectra , 2018 .
[24] S Kawata,et al. Estimation of spectral slit width and blind deconvolution of spectroscopic data by homomorphic filtering. , 1984, Applied optics.
[25] Limin Shao,et al. Self-Weighted Correlation Coefficients and Their Application to Measure Spectral Similarity , 2009, Applied spectroscopy.
[26] Xiaoyu Cui,et al. Stepwise method based on Wiener estimation for spectral reconstruction in spectroscopic Raman imaging. , 2017, Optics express.
[27] Kristofer S. J. Pister,et al. Wireless Gas Leak Detection and Localization , 2016, IEEE Transactions on Industrial Informatics.
[28] Miroslav Pajic,et al. Recognition of Planar Segments in Point Cloud Based on Wavelet Transform , 2015, IEEE Transactions on Industrial Informatics.
[29] C. Helstrom. Image Restoration by the Method of Least Squares , 1967 .
[30] Tony F. Chan,et al. Total variation blind deconvolution , 1998, IEEE Trans. Image Process..
[31] H. Mantsch,et al. Fourier transforms in the computation of self-deconvoluted and first-order derivative spectra of overlapped band contours , 1981 .
[32] K. Runtz,et al. Precise navigation using adaptive FIR filtering and time domain spectral estimation , 1994 .
[33] Wesley E. Snyder,et al. Restoration of ultrasonic NDE images , 1993, IEEE Trans. Ind. Electron..
[34] Kun Zhang,et al. Towards Improving Social Communication Skills With Multimodal Sensory Information , 2014, IEEE Transactions on Industrial Informatics.
[35] Jung-Ping Liu,et al. Stereo-Lighting Reconstruction of Optical Scanning Holography , 2016, IEEE Transactions on Industrial Informatics.
[36] Jianbin Zheng,et al. Comparison of wavelet transform and Fourier self-deconvolution (FSD) and wavelet FSD for curve fitting , 2000 .
[37] Seok-Beom Roh,et al. Identification of Black Plastics Based on Fuzzy RBF Neural Networks: Focused on Data Preprocessing Techniques Through Fourier Transform Infrared Radiation , 2018, IEEE Transactions on Industrial Informatics.