Recent NMR developments applied to organic-inorganic materials, Prog. Nucl. Magn. Reson. Spectrosc, vol.77, pp.1-48, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-00881233
Raman spectroscopy: Recent advancements, techniques and applications, Vib. Spectrosc, vol.57, issue.2, pp.163-176, 2011. ,
DOI : 10.1016/j.vibspec.2011.08.003
Spin dynamics: basics of nuclear magnetic resonance, 2008. ,
Raman and mid-infrared spectroscopic imaging: applications and advancements, Curr. Sci, vol.108, issue.3, pp.341-356, 2015. ,
Denoising applied to spectroscopies -part I: concept and limits, Appl. Spectrosc. Rev. accepted ,
DOI : 10.1080/05704928.2018.1523183
URL : https://hal.archives-ouvertes.fr/hal-01879736
Analysis of mass-limited mixtures using supercritical-fluid chromatography and microcoil NMR, Analyst, vol.140, issue.18, pp.6217-6221, 2015. ,
DOI : 10.1039/c5an00772k
URL : https://repository.ubn.ru.nl/bitstream/2066/149607/1/149607.pdf
An overview of emerging hyphenated SEM-EDX and Raman spectroscopy systems: applications in life, environmental and materials sciences, TrAC Trends Anal. Chem, vol.77, pp.156-166, 2016. ,
Simultaneous time-dependent surface-enhanced raman spectroscopy, metabolomics, and proteomics reveal cancer cell death mechanisms associated with gold nanorod photothermal therapy, J. Am. Chem. Soc, vol.138, issue.47, pp.15434-15442, 2016. ,
DOI : 10.1021/jacs.6b08787
Multidimensional NMR approaches towards highly resolved, sensitive and high-throughput quantitative metabolomics, Curr. Opin. Biotechnol, vol.43, pp.49-55, 2017. ,
DOI : 10.1016/j.copbio.2016.08.004
URL : https://hal.archives-ouvertes.fr/hal-02141306
Practical guide to chemometrics, 2006. ,
Extraction des connaissances en imagerie microspectrométrique par analyse chimiométrique : application à la caractérisation des constituants d'un calcul urinaire, Université des sciences et technologies de Lille 1, 2006. ,
Mining social media data for understanding students' learning experiences, IEEE Trans. Learn. Technol, vol.7, issue.3, pp.246-259, 2014. ,
DOI : 10.1109/tlt.2013.2296520
URL : https://doi.org/10.1109/tlt.2013.2296520
An improved coupled dictionary and multi-norm constraint fusion method for CT/MR medical images, Multimed. Tools Appl, pp.1-17, 2018. ,
DOI : 10.1007/s11042-018-5907-7
Principal component analysis, Chemom. Intell. Lab. Syst, vol.2, issue.1-3, pp.37-52, 1987. ,
Fast regression methods in a Lanczos (or PLS-1) basis. Theory and applications, Chemom. Intell. Lab. Syst, vol.51, issue.2, pp.145-161, 2000. ,
DOI : 10.1016/s0169-7439(00)00063-0
Partial least-squares regression: a tutorial, Anal. Chim. Acta, vol.185, pp.1-17, 1986. ,
A tutorial review: metabolomics and partial least squaresdiscriminant analysis -a marriage of convenience or a shotgun wedding, Anal. Chim. Acta, vol.879, pp.10-23, 2015. ,
Independent component analysis, A new concept? Signal Process, vol.36, pp.287-314, 1994. ,
DOI : 10.1016/0165-1684(94)90029-9
URL : https://hal.archives-ouvertes.fr/hal-00417283/file/como94-SP%20%281%29.pdf
Analysis of soda-lime glasses using non-negative matrix factor deconvolution of Raman spectra, J. NonCryst. Solids, vol.428, pp.121-131, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01191795
Independent components analysis to increase efficiency of discriminant analysis methods (FDA and LDA): application to NMR fingerprinting of wine, Talanta, vol.141, pp.60-65, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01251886
Recent applications of multivariate data analysis methods in the authentication of rice and the most analyzed parameters: a review, Crit. Rev. Food Sci. Nutr, pp.1-12, 2018. ,
Application of GC/Q-TOF combined with advanced data mining and chemometric tools in the characterization and quality control of bay leaves, Planta Med, 2018. ,
Evaluation of non-linearity in MIR spectroscopic data for compressed learning, IEEE International Conference on Data Mining Workshops (ICDMW), 2017. ,
Assessing risk and sources of heavy metals in a tropical river basin: a case study of the Selangor river, Malaysia. Pol. J. Environ. Stud, vol.27, issue.4, pp.1659-1671, 2018. ,
, , p.14, 2002.
A tutorial on principal component analysis, p.14, 2014. ,
Data adaptive signal estimation by singular value decomposition of a data matrix, Proc. IEEE, vol.70, issue.6, pp.684-685, 1982. ,
Signal enhancement -a composite property mapping algorithm, IEEE Trans. Acoust. Speech Signal Process, vol.36, issue.1, pp.49-62, 1988. ,
SVD Performances to denoise NMR and Raman spectra, 2016. ,
Estimation of a signal waveform from noisy data using low-rank approximation to a data matrix, IEEE Trans. Signal Process, vol.41, issue.4, pp.1716-1721, 1993. ,
Toeplitz and Hankel matrices, Algebraic methods for Toeplitz-like matrices and operators, pp.9-135, 1984. ,
DOI : 10.1007/978-3-0348-6241-7_1
Factor analysis in chemistry, 2002. ,
CORDIC arithmetic for an SVD processor, J. Parallel Distrib. Comput, vol.5, issue.3, pp.271-290, 1988. ,
DOI : 10.1109/arith.1987.6158686
URL : https://scholarship.rice.edu/bitstream/1911/19758/1/Cav1990May1CORDICArit.PDF
Fast principal component analysis of large data sets, Chemom. Intell. Lab. Syst, vol.59, issue.1-2, pp.1-18, 2001. ,
A Divide-and-Conquer Algorithm for the Bidiagonal SVD, SIAM J. Matrix Anal. Appl, vol.16, issue.1, pp.79-92, 1995. ,
Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions, SIAM Rev, vol.53, issue.2, pp.217-288, 2011. ,
Cadzow denoising upgraded: a new projection method for the recovery of Dirac pulses from noisy linear measurements, Sampl. Theory Signal Image Process, vol.14, issue.1, pp.17-47, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-00759253
High level data structures for GPGPU programming in a statically typed language, Int. J. Parallel Program, vol.45, issue.2, pp.242-261, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01320488
Parallel GPU implementation of iterative PCA algorithms, J. Comput. Biol, vol.16, issue.11, pp.1593-1599, 2008. ,
Singular value decomposition on GPU using CUDA, IEEE International Symposium on Parallel Distributed Processing (IPDPS), 2009. ,
A GPU-based hyperbolic SVD algorithm, BIT Numer. Math, vol.51, issue.4, pp.1009-1030, 2011. ,
GPU parallel implementation of the approximate K-SVD algorithm using OpenCL, 22nd European Signal Processing Conference (EUSIPCO), 2014. ,
Scalable parallel programming with, CUDA. Queue, vol.6, issue.2, pp.40-53, 2008. ,
OpenCL parallel computing for heterogeneous devices, IEEE Hot Chips 21 Symposium (HCS), 2009. ,
Accelerating numerical dense linear algebra calculations with GPUs, Numerical Computations with GPUs, pp.3-28, 2014. ,
Accelerating the SVD two stage bidiagonal reduction and divide and conquer using GPUs, Parallel Comput, vol.74, pp.3-18, 2018. ,
A Few of the Most Popular Models for Heterogeneous Parallel Programming, 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES), 2017. ,
Denoising NMR timedomain signal by singular-value decomposition accelerated by graphics processing units, Solid State Nucl. Magn. Reson, pp.28-34, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01275072
Java application for FID denoising with SVD, p.14, 2012. ,
Graphic processing unit (GPU), 2012 SVD Java 7 application for FID denoising, p.14, 2012. ,
Comparing the performance of different x86 SIMD instruction sets for a medical imaging application on modern multi-and manycore chips, Proceedings of the 2014 Workshop on Programming Models for SIMD/Vector Processing, 2014. ,
Hydrophobic, antireflective, self-cleaning, and antifogging sol?gel coatings: an example of multifunctional nanostructured materials for photovoltaic cells, Chem. Mater, vol.22, issue.15, pp.4406-4413, 2010. ,
Increased 29 Si NMR sensitivity in glasses with a Carr-Purcell-Meiboom-Gill echotrain, J. Non-Cryst. Solids, vol.354, issue.34, pp.4107-4114, 2008. ,
Sr, 119 Sn, 127 I single and { 1 H/ 19 F}-double resonance solidstate NMR experiments: application to inorganic materials and nanobuilding blocks, ChemistrySelect, vol.87, issue.15, pp.4509-4519, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01378175
Population and coherence transfer induced by double frequency sweeps in half-integer quadrupolar spin systems, J. Magn. Reson, vol.147, issue.2, pp.192-209, 2000. ,
Ultra-wideline solid-state NMR spectroscopy, TDR registry keys. Available at, vol.46, p.14, 2013. ,
, Python Tutorial, p.14, 1995.
Jampack: a Java matrix package, p.14, 2018. ,
CULA: hybrid GPU accelerated linear algebra routines, Proc. SPIE 7705, Modeling and Simulation for Defense Systems and Applications V, 2010. ,
What is the maximum Heap Size of 32 bit or 64-bit JVM in Windows and Linux, p.14, 2013. ,
SVD under Matlab with CULA link, 2015. ,
matNMR: A flexible toolbox for processing, analyzing and visualizing magnetic resonance data in Matlab®, J. Magn. Reson, vol.187, issue.1, pp.19-26, 2007. ,
Denoising applied to spectroscopies: parts I and IIprograms and datas, p.30, 2018. ,
A guide to NumPy, 2006. ,
SciPy: open source scientific tools for Python, 2001. ,
, , 2015.
PyCUDA and PyOpenCL: A scripting-based approach to GPU run-time code generation, Parallel Comput, vol.38, issue.3, pp.157-174, 2012. ,
Automatically Tuned Linear Algebra Software, 1997. ,
Model-driven level 3 BLAS performance optimization on Loongson 3A processor, IEEE 18th International Conference on Parallel and Distributed Systems, 2012. ,
Building NumPy and SciPy with Intel compilers and Intel MKL on a 64 bit machine, 2014. ,
Scientific library for Python, 2015. ,
Python extension packages for windows, 2018. ,
Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU, Proceedings of the 37th Annual International Symposium on Computer Architecture, ISCA '10, 2010. ,
Theoretical peak FLOPS per instruction set: a tutorial, J. Supercomput, vol.74, issue.3, pp.1341-1377, 2018. ,
Precision & performance: floating point and IEEE 754 compliance for NVIDIA GPUs, p.14, 2017. ,
Perturbation theory for the singular value decomposition, p.15, 1990. ,
A survey of singular value decomposition methods and performance comparison of some available serial codes, 2005. ,
Jordan-elimination und ausgleichung nach kleinsten quadraten, Numer. Math, vol.3, issue.1, pp.226-240, 1961. ,
Calculating the singular values and pseudoinverse of a matrix, J. Soc. Ind. Appl. Math. Ser. B Numer. Anal, vol.2, issue.2, pp.205-224, 1965. ,
Singular value decomposition and least squares solutions, Numer. Math, vol.14, issue.5, pp.403-420, 1970. ,
A divide and conquer method for the symmetric tridiagonal eigenproblem, Numer. Math, vol.36, issue.2, pp.177-195, 1980. ,
Computing the bidiagonal SVD using multiple relatively robust representations, SIAM J. Matrix Anal. Appl, vol.28, issue.4, pp.907-926, 2006. ,
Jacobi's method is more accurate than QR, SIAM J. Matrix Anal. Appl, vol.13, issue.4, pp.1204-1245, 1992. ,
Efficient computation of the singular value decomposition with applications to least squares problems, p.14, 1994. ,
, MathWorks parallel computing toolbox team. (2012) GPUBench. Available at, 2018.
, LAPACK Users' Guide, 1999.
A set of level 3 basic linear algebra subprograms, ACM Trans Math Softw, vol.16, issue.1, pp.1-17, 1990. ,
Handbook of Linear Algebra, 2006. ,
, Optimized R and Python: standard BLAS vs. ATLAS vs. OpenBLAS vs. MKL. Available at, 2014.
Anaconda software distribution, 2016. ,
Nmrglue: an open source Python package for the analysis of multidimensional NMR data, J. Biomol. NMR, vol.55, issue.4, pp.355-367, 2013. ,
A divide-and-conquer approach for solving singular value decomposition on a heterogeneous system, Proceedings of the ACM International Conference on Computing Frontiers, 2013. ,
From CUDA to OpenCL: Towards a performance-portable solution for multiplatform GPU programming, Parallel Comput, vol.38, issue.8, pp.391-407, 2012. ,
Unified development for mixed multi-GPU and multi-coprocessor environments using a lightweight runtime environment. Parallel and distributed processing symposium, IEEE 28th international, 2014. ,