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IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 07/2019, Volume 30, Issue 7, pp. 2043 - 2051
Journal Article
Journal of Applied Geophysics, ISSN 0926-9851, 09/2015, Volume 120, pp. 7 - 13
Impedance is an important parameter in geophysics which is greatly relevant to petroleum reservoir. Traditional iterative inversion methods, such as damped... 
L1 norm regularization inversion method | Damped least-squares inversion method | Anti-noise ability | Inversion accuracy | Impedance inversion | GEOSCIENCES, MULTIDISCIPLINARY | MINING & MINERAL PROCESSING
Journal Article
Mechanical Systems and Signal Processing, ISSN 0888-3270, 08/2018, Volume 108, pp. 360 - 368
The relationship between spectral kurtosis, spectral L2/L1 norm, spectral Lp/Lq norm, the reciprocal of spectral smoothness index and spectral Gini index for... 
Outliers | Spectral L2/L1 norm | Spectral smoothness index | Bearing fault diagnosis | Spectral kurtosis | Squared envelope analysis | Spectral Gini index | DIAGNOSIS | CHARACTERIZING NONSTATIONARY SIGNALS | FAULT-DETECTION | ENGINEERING, MECHANICAL | Gini coefficient | Analysis | Algorithms
Journal Article
Pattern Recognition, ISSN 0031-3203, 01/2013, Volume 46, Issue 1, pp. 389 - 396
Novelty detection is a one class classification problem, and it builds up the model with only normal samples, based on which the novelty is detected. Though... 
KPCA | L1 norm | Novelty detection | SUPPORT | NETWORK | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Analysis | Algorithms | Computer simulation | Data sets | Classification | Norms | Pattern recognition | Accumulation | Optimization
Journal Article
EARTH PLANETS AND SPACE, ISSN 1880-5981, 07/2019, Volume 71, Issue 1, pp. 1 - 19
Journal Article
Mechanical Systems and Signal Processing, ISSN 0888-3270, 05/2018, Volume 104, pp. 290 - 293
Thanks to the great efforts made by Antoni (2006), spectral kurtosis has been recognized as a milestone for characterizing non-stationary signals, especially... 
Bearing fault diagnosis | Spectral L2/L1 norm | Spectral kurtosis | Squared envelope spectrum | Spectral correlation | ENGINEERING, MECHANICAL
Journal Article
Automatica, ISSN 0005-1098, 01/2015, Volume 51, pp. 223 - 232
This paper deals with the analysis of linear sampled-data systems, by which we mean the computation of the L -induced norm of linear sampled-data systems. Two... 
Operator approximation | Sampled-data control | optimal control | induced norm | Numerical methods
Journal Article
Journal Article
Neurocomputing, ISSN 0925-2312, 02/2013, Volume 102, pp. 135 - 143
For many human machine interaction systems, techniques for continuously estimating the vigilance of operators are highly desirable to ensure work safety. Up to... 
L1 norm penalty | Extreme learning machine | EEG | Vigilance estimation | L2 norm penalty | norm penalty | REGRESSION | SYSTEM | APPROXIMATION | L-2 norm penalty | CLASSIFICATION | ALERTNESS | NETWORKS | L-1 norm penalty | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | COMPONENT | SPECTRUM | Learning | Training | Human | Support vector machines | Vigilance | Operators | Neural networks | Norms
Journal Article
Journal of Applied Geophysics, ISSN 0926-9851, 05/2015, Volume 116, pp. 104 - 109
There are two steps in internal multiple elimination, the first step is multiple prediction (predicted multiple model by inverse scattering series (ISS) method... 
Huber norm | Adaptive subtraction | Internal multiples | REGRESSION | GEOSCIENCES, MULTIDISCIPLINARY | DECONVOLUTION | MINING & MINERAL PROCESSING | SEISMIC DATA | L1 NORM | INVERSE SCATTERING SERIES
Journal Article
Optik - International Journal for Light and Electron Optics, ISSN 0030-4026, 01/2014, Volume 125, Issue 1, pp. 31 - 38
Sparse unmixing aims at finding an optimal subset of spectral signatures in a large spectral library to effectively model each pixel in the hyperspectral image... 
Hyperspectral unmixing | Spectral library | Reweighted L1 minimization | Sparse hyperspectral unmixing | L0 minimization | Reweighted L | minimization | Errors | Algorithms | Error analysis | Approximation | Effectiveness | Norms | Regression | Tolerances
Journal Article
Journal Article
IEEJ Transactions on Electrical and Electronic Engineering, ISSN 1931-4973, 03/2016, Volume 11, Issue 2, pp. 228 - 235
In collocated multiple‐input multiple‐output (MIMO) radar, because of the sparse nature of the received signal in the three dimensions of range, angle, and... 
l1‐norm‐based sparse optimization | truncated Newton interior point method | collocated MIMO radar | two‐dimensional sparse signal model | norm-based sparse optimization | Collocated MIMO radar | l | Truncated Newton interior point method | Two-dimensional sparse signal model | Radar systems | Analysis | MIMO communications
Journal Article
International Journal for Numerical Methods in Fluids, ISSN 0271-2091, 08/2018, Volume 87, Issue 12, pp. 628 - 651
Summary We are interested in the model reduction techniques for hyperbolic problems, particularly in fluids. This paper, which is a continuation of an earlier... 
reduced‐order models | nonlinear hyperbolic problems | L1 minimization | minimization | reduced-order models | Fluids | Compressibility | Methodology | Computational fluid dynamics | Mathematical models | Model reduction | Optimization
Journal Article
Physiological Measurement, ISSN 0967-3334, 09/2013, Volume 34, Issue 9, pp. 1027 - 1039
Electrical impedance tomography (EIT) produces an image of internal conductivity distributions in a body from current injection and electrical measurements at... 
L1 norm | Primal Dual Interior Point Method | L2 norm | electrical impedance tomography | regularization | Algorithms | Animals | Tomography - methods | Humans | Dogs | Finite Element Analysis | Electric Impedance | Image Processing, Computer-Assisted - methods | Lung - physiology | Phantoms, Imaging | Respiration
Journal Article
IEICE Transactions on Communications, ISSN 0916-8516, 11/2015, Volume E98B, Issue 11, pp. 2307 - 2313
Journal Article