Skip to main content
. 2022 Oct 9;22(19):7638. doi: 10.3390/s22197638

Table 4.

Optimized (after fine-tuning) parameters for the three simulation cases.

Filter Sim. Type L μ λ Filter Sim. Type L μ λ
LMS 1st Sim. 2 4.80 - FTF 1st Sim. 2 - 0.99
2nd Sim. 2 0.70 2nd Sim. 11 1.00
3rd Sim. 4 3.70 3rd Sim. 2 0.98
NLMS 1st Sim. 11 0.05 - LSL 1st Sim. 6 - 1.00
2nd Sim. 2 0.05 2nd Sim. 3 1.00
3rd Sim. 4 0.05 3rd Sim. 33 1.00
FDAF 1st Sim. 16 0.10 - RLS 1st Sim. 2 - 1.00
2nd Sim. 10 0.10 2nd Sim. 2 1.00
3rd Sim. 13 0.10 3rd Sim. 2 1.00
BLMS 1st Sim. 2 4.60 - HRLS 1st Sim. 2 - 1.00
2nd Sim. 2 0.70 2nd Sim. 2 1.00
3rd Sim. 4 3.50 3rd Sim. 2 1.00
FXLMS 1st Sim. 7 1.70 - SWRLS 1st Sim. 2 - 1.00
2nd Sim. 6 0.20 2nd Sim. 2 1.00
3rd Sim. 10 2.50 3rd Sim. 2 1.00
SELMS 1st Sim. 2 0.15 - HSWRLS 1st Sim. 2 - 1.00
2nd Sim. 2 0.05 2nd Sim. 2 1.00
3rd Sim. 2 0.20 3rd Sim. 2 1.00
SDLMS 1st Sim. 2 0.10 - QRD-RLS 1st Sim. 2 - 1.00
2nd Sim. 2 0.05 2nd Sim. 2 1.00
3rd Sim. 4 0.05 3rd Sim. 2 1.00
SSLMS 1st Sim. 2 0.05 - Wiener 1st Sim. 2 - -
2nd Sim. 2 0.05 2nd Sim. 2
3rd Sim. 2 0.05 3rd Sim. 2