Table 1 The MSDs (dB) of the closed-form solutions of the MSCE, GMSCE, MSE, LMF, and MCC with different sub-Gaussian noises at SNR = 6 dB (L = 3000)
From: Mean square cross error: performance analysis and applications in non-Gaussian signal processing
Algorithms | Sub-G noise (1) | Sub-G noise (2) | Sub-G noise (3) | Sub-G noise (4) | Averaged MSDs |
|---|---|---|---|---|---|
MSCE | − 31.0 | − 28.4 | − 31.4 | − 26.9 | − 29.4 |
GMSCE | − 31.0 | − 28.4 | − 31.1 | − 27.1 | − 29.4 |
MSE | − 28.4 | − 28.6 | − 28.6 | − 28.2 | − 28.5 |
LMF | − 31.3 | − 26.7 | − 31.4 | − 30.2 | − 29.9 |
MCC (σ = 1) | − 24.7 | − 25.7 | − 24.9 | − 25.7 | − 25.3 |
GMCC1 (α = 2, λ = 0.031) | − 28.0 | − 28.4 | − 28.2 | − 28.0 | − 28.2 |
GMCC2 (α = 4, λ = 0.005) | − 32.0 | − 27.1 | − 31.7 | − 30.5 | − 30.3 |
GMCC3 (α = 6, λ = 0.001) | − 20.7 | − 19.2 | − 20.7 | − 21.1 | − 20.4 |
MKRSL1 (λ = 0.1, σ = 1) | − 24.7 | − 25.8 | − 24.9 | − 25.7 | − 25.3 |
MKRSL2 (λ = 32, σ = 1.7) | − 24.7 | − 25.8 | − 24.9 | − 25.7 | − 25.3 |