MATLAB CURVE FITTING TOOLBOX - RELEASE NOTES Podręcznik Użytkownika Pobierz pdf (Strona 54)

2 Importing, Viewing, and Preprocessing Data

2-20

Plot (a) shows the noisy data. To more easily compare the smoothed results,

plots

(b) and (c) show the data without the added noise.

Plot

(b) shows the result of smoothing with a quadratic polynomial. Notice

that the method performs poorly for the narrow peaks. Plot

result of smoothing with a quartic polynomial. In general, higher degree

polynomials can more accurately capture the heights and widths of narrow

peaks, but can do poorly at smoothing wider peaks.

1 2 3 4 5 6 7 8

Savitzky−Golay Smoothing

(a)

noisy data

1 2 3 4 5 6 7 8

(b)

data

S−G quadratic

1 2 3 4 5 6 7 8

(c)

data

S−G quartic

1 2 ... 49 50 51 52 53 54 55 56 57 58 59 ... 215 216

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MATLAB CURVE FITTING TOOLBOX - RELEASE NOTES Podręcznik Użytkownika Strona 54