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noisegen

ノイズ生成

呼び出し手順

b = noisegen(pas, Tmax, sig)

説明

noisegen() is removed Examples (clearer, shorter, and more powerful) using grand() follow:

100 10-point wide steps with random amplitudes of normal distribution of mean 1 and standard deviation 0.7:

u = grand(1, 100, "nor", 1, 0.7) .*. ones(1,10);
clf, plot(u);

40 15-point wide steps with random amplitudes of uniform distribution in [1 3], with initial level 0.5 and final level hold:

width = 15;
u = grand(1,40, "unf", 1, 3) .*. ones(1,width);
u = [ones(1,8*width)*0.5, u, ones(1,5*width)*u($)];
clf, plot(u);

Scilab 関数 [b]=Noise(t)を生成します. ただし, Noise(t)は区分定数関数です ([k*pas,(k+1)*pas]の区間は定数). 各一定区間の値は, 互いに独立で同一の分布に従う標準偏差 sig のガウス分布 によるランダムな値です. 関数は,t ≤ 0および t ≥ Tmaxでは一定です.

grand allows to generate noises according to a wide variety of probability distributions.

Example #1: noisegen()

noisegen(0.5, 30, 1.0);
x = -5:0.01:35;
y = feval(x, Noise);
plot(x, y);

Example #2: grand()

// Plot a zero mean gaussian white noise with the variance 1.
// To use a different variance, multiply rand() by the square root of the variance.
t = 0:.5:30;
noise = grand(t, "nor", 0, sig);
plot2d2(t, noise);

参照

履歴

VersionDescription
6.1.0 noisegen() is obsolete. It can be replaced using grand and .*..
6.1.1 noisegen() will be removed in the next Scilab version.

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