`sox.sensor.noise`#

Module Contents#

Classes#

`Noise`	Base class for sensor noise
`Uniform`	Uniform noise
`Normal`	Normal noise
`Poisson`	Poisson noise
`Exponential`	Exponential noise

class sox.sensor.noise.Noise(random_seed=None)#

Base class for sensor noise

Parameters:: random_seed (int) – Random seed for reproducibility.

apply(value)#: Applies noise to sensor reading

class sox.sensor.noise.Uniform(min_value, max_value, *args, **kwargs)#

Bases: Noise

Uniform noise

Parameters:

min_value (float) – Minimum value of noise.
max_value (float) – Maximum value of noise.

apply(value)#: Applies uniform noise to sensor reading

class sox.sensor.noise.Normal(mean, std_dev, *args, **kwargs)#

Bases: Noise

Normal noise

Parameters:

mean (float) – Mean of noise.
std_dev (float) – Standard deviation of noise.

apply(value)#: Applies normal noise to sensor reading

class sox.sensor.noise.Poisson(lam, *args, **kwargs)#

Bases: Noise

Poisson noise

Parameters:: lam (float) – Lambda parameter for Poisson distribution.

apply(value)#: Applies Poisson noise to sensor reading

class sox.sensor.noise.Exponential(scale, *args, **kwargs)#

Bases: Noise

Exponential noise

Parameters:: scale (float) – Scale parameter for exponential distribution.

apply(value)#: Applies exponential noise to sensor reading