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Table 14 The algorithms with the potential to give a pure background

From: Clutter suppression in ultrasound: performance evaluation and review of low-rank and sparse matrix decomposition methods

Group

Abbreviation

Algorithm name

RPCA

PCP

Principal component pursuit

RPCA

FPCP

Fast PCP

RPCA

R2PCP

Riemannian robust principal component pursuit

RPCA

IALM

Inexact ALM

RPCA

IALM-BLWS

IALM with BLWS

RPCA

APG-PARTIAL

Partial accelerated proximal gradient

RPCA

APG

Accelerated proximal gradient

RPCA

DUAL

Dual RPCA

RPCA

Lag-SPCP-SPG

Lagrangian SPCP solved by spectral projected gradient

RPCA

Lag-SPCP-QN

Lagrangian SPCP solved by Quasi-Newton

RPCA

FW-T

SPCP solved by Frank–Wolfe method

LRR

ROSL

Robust orthonormal subspace learning

NMF

DRMF

Direct robust matrix factorization

TD

HoRPCA-S-NCX

HoRPCA with singleton model solved by ADAL (non-convex)

TD

OSTD

Online stochastic tensor decomposition