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Synthesis versus analysis priors via generalized minimax-concave penalty for sparsity-assisted machinery fault diagnosis
Wang, Shibin; Selesnick, Ivan W.; Cai, Gaigai; Ding, Baoqing; Chen, Xuefeng
ISI:000470342800013
ISSN: 0888-3270
CID: 4532852
NONLINEAR SMOOTHING OF DATA WITH RANDOM GAPS AND OUTLIERS (DRAGO) IMPROVES ESTIMATION OF CIRCADIAN RHYTHM [Meeting Abstract]
Parekh, Ankit A.; Selesnick, Ivan; Baroni, Argelinda; Miller, Margo; Sanders, Haley; Bubu, Omonigho M.; Cavedoni, Bianca; Varga, Andrew W.; Rapoport, David M.; Ayappa, Indu; Osorio, Ricardo S.; Blessing, Esther
ISI:000471071001105
ISSN: 1550-9109
CID: 4532862
Sparsity-Inducing Nonconvex Nonseparable Regularization for Convex Image Processing
Lanza, Alessandro; Morigi, Serena; Selesnick, Ivan W.; Sgallari, Fiorella
ISI:000473117100015
ISSN: 1936-4954
CID: 4532882
A convex-nonconvex variational method for the additive decomposition of functions on surfaces
Huska, Martin; Lanza, Alessandro; Morigi, Serena; Selesnick, Ivan
ISI:000499907900001
ISSN: 0266-5611
CID: 4532902
Speckle noise reduction in OCT and projection images using hybrid wavelet thresholding
Chapter by: Sui, X.; Ishikawa, H.; Selesnick, I. W.; Wollstein, G.; Schuman, J. S.
in: 2018 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2018 - Proceedings by
[S.l.] : Institute of Electrical and Electronics Engineers Inc., 2019
pp. ?-?
ISBN: 9781538659168
CID: 3996892
Sparsity-enhanced signal decomposition via generalized minimax-concave penalty for gearbox fault diagnosis
Cai, Gaigai; Selesnick, Ivan W.; Wang, Shibin; Dai, Weiwei; Zhu, Zhongkui
ISI:000439408800013
ISSN: 0022-460x
CID: 4532812
The Influence of a Time-Varying Least Squares Parametric Model When Estimating SFOAEs Evoked with Swept-Frequency Tones [Meeting Abstract]
Hajicek, Joshua J.; Selesnick, Ivan W.; Henin, Simon; Talmadge, Carrick L.; Long, Glenis R.
ISI:000461049900094
ISSN: 0094-243x
CID: 4532822
The Suppression of Transient Artifacts in Time Series via Convex Analysis [Meeting Abstract]
Feng, Yining; Graber, Harry; Selesnick, Ivan
ISI:000462844100007
ISSN: 2372-7241
CID: 4532832
Vector minimax concave penalty for sparse representation
Wang, Shibin; Chen, Xuefeng; Dai, Weiwei; Selesnick, Ivan W.; Cai, Gaigai; Cowen, Benjamin
This paper proposes vector minimax concave (VMC) penalty for sparse representation using tools of Moreau envelope. The VMC penalty is a weighted MC function; by fine tuning the weight of the VMC penalty with given strategy, the VMC regularized least squares problem shares the same global minimizers with the L-o regularization problem but has fewer local minima. Facilitated by the alternating direction method of multipliers (ADMM), the VMC regularization problem can be tackled as a sequence of convex sub-problems, each of which can be solved fast. Theoretical analysis of ADMM shows that the convergence of solving the VMC regularization problem is guaranteed. We present a series of numerical experiments demonstrating the superior performance of the VMC penalty and the ADMM algorithm in broad applications for sparse representation, including sparse denoising, sparse deconvolution, and missing data estimation. (C) 2018 Elsevier Inc. All rights reserved. ISI:000453637100016
ISSN: 1051-2004
CID: 3562262
'Sandbagging' a Vision Test for Concussion-based Sideline Assessment: An Eye Movement Investigation Objectively Reveals the 'Gamers' Strategies [Meeting Abstract]
Rucker, Janet; Hasanaj, Lisena; Rizzo, John-Ross; Hudson, Todd; Dai, Weiwei; Martone, John; Chaudhry, Yash; Ihionu, Oluchi; Selesnick, Ivan; Balcer, Laura; Galetta, Steven
ISI:000453090801144
ISSN: 0028-3878
CID: 3561472