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Table 12 The 13 algorithms that cannot take complex numbers as input

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

Group

Abbreviation

Algorithm nme

RPCA

DECOLOR

Contiguous outliers in the low-rank representation

RPCA

MoG-RPCA

Mixture of Gaussians RPCA

RPCA

FW-T

SPCP solved by Frank–Wolfe method

MC

LRGeomCG

Low-rank matrix completion by Riemannian optimization

MC

RPCA-GD

Robust PCA via gradient descent

LRR

ADM

Alternating direction method

LRR

LADMAP

Linearized ADM with adaptive penalty

LRR

FastLADMAP

Fast LADMAP

TTD

MAMR

Motion-assisted matrix restoration

TTD

RMAMR

Robust motion-assisted matrix restoration

TD

HoRPCA-IALM

HoRPCA solved by IALM

TD

HoRPCA-S

HoRPCA with singleton model solved by ADAL

TD

RSTD

Rank sparsity tensor decomposition