Skip to main content

Table 2 The slope k and the degree of linear approximation of the GLHS functions with different scaling parameters \(\lambda\)

From: Time delay estimation method based on generalized logarithmic hyperbolic secant function in impulsive noise

\(\lambda\)

k

SSE

RMSE

R-square

0.1

0.0468

0.3371

0.0063

0.9968

0.2

0.0935

0.1732

0.0064

0.9967

0.3

0.1402

0.1207

0.0065

0.9966

0.4

0.1868

0.0962

0.0067

0.9965

0.5

0.2331

0.0830

0.0068

0.9964

0.6

0.2792

0.0757

0.0071

0.9962

0.7

0.3250

0.0718

0.0074

0.9959

0.8

0.3706

0.0703

0.0078

0.9957

0.9

0.4157

0.0708

0.0082

0.9953

1

0.4605

0.0723

0.0086

0.9950

1.5

0.6780

0.0975

0.0116

0.9898

2

0.8841

0.1451

0.0155

0.9887

2.5

1.0790

0.2141

0.0199

0.9838

3

1.2630

0.2976

0.0245

0.9780

3.5

1.4400

0.3914

0.0292

0.9717

4

1.6090

0.4926

0.0338

0.9648

4.5

1.7720

0.5999

0.0384

0.9575

5

1.9310

0.6974

0.0425

0.9504