Noise Modeling#

class AWGN(power=0.0, seed=None)[source]#

Bases: Serializable, Noise[AWGNRealization]

Additive White Gaussian Noise.

Parameters:

power (float, optional) – Power of the added noise.

realize(power=None)[source]#

Realize the noise model.

Parameters:

power (float, optional) – Power of the added noise. If not specified, the class Noise.power() configuration will be applied.

Return type:

AWGNRealization

Returns: Noise model realization.

class AWGNRealization(noise, power)[source]#

Bases: NoiseRealization

Realization of additive white Gaussian noise

Parameters:

  • noise (Noise) – Noise model to be realized.

  • power (power) – Power indicator of the noise model.

add_to(signal)[source]#
Parameters:

  • signal (Signal) – The signal to which the noise should be added.

  • realization (NoiseRealizationType) – Realization of the noise model to be added to signal.

  • power (float, optional) – Power of the added noise.

Return type:

Signal

class Noise(power=0.0, seed=None)[source]#

Bases: RandomNode, Generic[NoiseRealizationType]

Noise modeling base class.

Parameters:

power (float, optional) – Power of the added noise.

add(signal, realization=None)[source]#

Add noise to a signal model.

Parameters:

  • signal (Signal) – The signal to which the noise should be added.

  • realization (NoiseRealizationType) – Realization of the noise model to be added to signal.

Return type:

Signal

Returns: Signal model with added noise.

abstract realize(power=None)[source]#

Realize the noise model.

Parameters:

power (float, optional) – Power of the added noise. If not specified, the class Noise.power() configuration will be applied.

Return type:

TypeVar(NoiseRealizationType, bound= NoiseRealization)

Returns: Noise model realization.

property power: float#

Power of the added noise.

Note that for white Gaussian noise the power is equivalent to the variance of the added random variable.

Returns:

Power of the added noise.

Return type:

power (float)

Raises:

ValueError – If the power is smaller than zero.

class NoiseRealization(noise, power)[source]#

Bases: RandomRealization

Realization of a noise model

Parameters:

  • noise (Noise) – Noise model to be realized.

  • power (power) – Power indicator of the noise model.

abstract add_to(signal)[source]#
Parameters:

  • signal (Signal) – The signal to which the noise should be added.

  • realization (NoiseRealizationType) – Realization of the noise model to be added to signal.

  • power (float, optional) – Power of the added noise.

Return type:

Signal

property power: float#

Power of the noise realization.

Returns: Power in Watt.

class NoiseRealizationType#

Type of noise realization

alias of TypeVar(‘NoiseRealizationType’, bound=NoiseRealization)