Výsledky vyhľadávania - "Fixed point iterative thresholding algorithm"

Convergence of ℓ2/3 Regularization for Sparse Signal Recovery

Autori: Lu Liu Di-Rong Chen

Zdroj: Asia-Pacific Journal of Operational Research. 32:1550023

Predmety: Compressed sensing, ℓ2/3 regularization, two thirds thresholding operator, fixed point iterative thresholding algorithm, phase diagram, 4. Education, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences, 3. Good health

Prístupová URL adresa: https://ideas.repec.org/a/wsi/apjorx/v32y2015i04ns0217595915500232.html
https://www.worldscientific.com/doi/abs/10.1142/S0217595915500232
https://dblp.uni-trier.de/db/journals/apjor/apjor32.html#LiuC15
http://www.worldscinet.com/cgi-bin/details.cgi?type=html&id=pii:S0217595915500232
http://www.worldscinet.com/cgi-bin/details.cgi?type=pdf&id=pii:S0217595915500232

Convergence of ℓ2/3 Regularization for Sparse Signal Recovery.

Autori: Liu, Lu Chen, Di-Rong

Zdroj: Asia-Pacific Journal of Operational Research; Aug2015, Vol. 32 Issue 4, p-1, 20p

Predmety: STOCHASTIC convergence, MATHEMATICAL regularization, LINEAR systems, APPROXIMATION theory, PROBLEM solving, MATHEMATICAL optimization

Fast and efficient algorithm for matrix completion via closed-form 2/3-thresholding operator.

Autori: Wang, Zhi Wang, Wendong Wang, Jianjun a ďalší

Zdroj: Neurocomputing. Feb2019, Vol. 330, p212-222. 11p.

Predmety: *THRESHOLDING algorithms, *MATHEMATICAL regularization, *DATA analysis, *SINGULAR value decomposition, *FIXED point theory

Convergence of ℓ2/3 Regularization for Sparse Signal Recovery

Autori: Lu Liu Di-Rong Chen

Relation: http://www.worldscinet.com/cgi-bin/details.cgi?type=pdf&id=pii:S0217595915500232; http://www.worldscinet.com/cgi-bin/details.cgi?type=html&id=pii:S0217595915500232

Dostupnosť: http://www.worldscinet.com/cgi-bin/details.cgi?type=pdf&id=pii:S0217595915500232
http://www.worldscinet.com/cgi-bin/details.cgi?type=html&id=pii:S0217595915500232