Fig 1

Flowchart of the QEOA-GLOC-ML method"

Fig 2

Curves of convergence for two independent sources"

Fig 3

Curves of RMSE versus GSNR with ${\boldsymbol{\alpha = 0.7}}$ and ${\boldsymbol{L = 50}}$ for two independent sources"

Fig 4

Curves of success rate versus the characteristic exponent with ${\boldsymbol{L = 50}}$ and ${\bf{GSNR}} = {\boldsymbol{20}}{\bf{\;dB}}$ for two independent sources"

Table 1

Success rate versus ${\boldsymbol{\alpha}} $ with ${\boldsymbol{L = 50}}$ and ${{\bf{GSNR}}} {\boldsymbol{=}} {\boldsymbol{20}}{\bf{\;dB}}$ for two independent sources"

Fig 5

Curves of RMSE versus GSNR with ${\boldsymbol{\alpha = 0.7}}$ and ${\boldsymbol{L = 10}}$ for two independent sources"

Fig 6

Curves of success rate versus the characteristic exponent with ${\boldsymbol{L = 10}}$ and ${\bf{GSNR}} = {\boldsymbol{20}}{\bf{\;dB}}$ for two independent sources"

Fig 7

Curves of RMSE versus GSNR with ${\boldsymbol{\alpha = 0.7}}$ and ${\boldsymbol{L = 10}}$ for two coherent sources"

Fig 8

Curves of success rate versus the characteristic exponent with ${\boldsymbol{L = 10}}$ and ${\bf{GSNR}} = {\boldsymbol{20}}{\bf{\;dB}}$ for two coherent sources"

Fig 9

Curves of RMSE versus GSNR with ${\boldsymbol{\alpha = 0.7}}$ and ${\boldsymbol{L = 10}}$ for two coherent sources using different low-order covariances"

Fig 10

Curves of success rate versus the characteristic exponent with ${\bf{GSNR}} = {\boldsymbol{20}}{\bf{\;dB}}$ and ${\boldsymbol{L = 10}}$ for two coherent sources using different low-order covariances"