Noise Model¶

class NoiseModel(seed=None)[source]¶

Bases: Serializable, RandomNode, Generic[NRT]

Noise modeling base class.

Parameters:: seed (int | None) – Random seed for initializating the pseud-random number generator.

add_noise(signal, power)[source]¶

Add noise to a signal model.

Parameters:

signal (TypeVar(ST, bound= Signal)) – The signal to which the noise should be added.
power (float) – Power of the added noise in Watt.

Return type:

TypeVar(ST, bound= Signal)

Returns: Signal model with added noise.

abstract realize(power)[source]¶

Realize the noise model.

Parameters:: power (float) – Power of the added noise in Watt.
Return type:: TypeVar(NRT, bound= NoiseRealization)

Returns: Noise model realization.

class AWGN(seed=None)[source]¶

Bases: NoiseModel[AWGNRealization]

Additive White Gaussian Noise.

Parameters:: seed (int | None) – Random seed for initializating the pseud-random number generator.

classmethod Deserialize(process)[source]¶

Deserialize an object’s state.

Objects cannot be deserialized directly, instead a Factory must be instructed to carry out the deserialization process.

Parameters:: process (DeserializationProcess) – The current stage of the deserialization process. This object is generated by the Factory and provides an interface to deserialization methods supporting multiple backends.
Return type:: AWGN
Returns:: The deserialized object.

realize(power)[source]¶

Realize the noise model.

Parameters:: power (float) – Power of the added noise in Watt.
Return type:: AWGNRealization

Returns: Noise model realization.

serialize(process)[source]¶

Serialize this object’s state.

Objects cannot be serialized directly, instead a Factory must be instructed to carry out the serialization process.

Parameters:: process (SerializationProcess) – The current stage of the serialization process. This object is generated by the Factory and provides an interface to serialization methods supporting multiple backends.
Return type:: None

class NoiseRealization(power, seed)[source]¶

Bases: RandomRealization

Realization of a noise model

Parameters:

power (float) – Power indicator of the noise model.
seed (int) – Seed for the random number generator.

classmethod Deserialize(process)[source]¶

Deserialize an object’s state.

Objects cannot be deserialized directly, instead a Factory must be instructed to carry out the deserialization process.

Parameters:: process (DeserializationProcess) – The current stage of the deserialization process. This object is generated by the Factory and provides an interface to deserialization methods supporting multiple backends.
Return type:: NoiseRealization
Returns:: The deserialized object.

abstract add_to(signal)[source]¶

Parameters:: signal (TypeVar(ST, bound= Signal)) – The signal to which the noise should be added.
Return type:: TypeVar(ST, bound= Signal)
Returns:: Signal model with added noise.

serialize(process)[source]¶

Serialize this object’s state.

Objects cannot be serialized directly, instead a Factory must be instructed to carry out the serialization process.

Parameters:: process (SerializationProcess) – The current stage of the serialization process. This object is generated by the Factory and provides an interface to serialization methods supporting multiple backends.
Return type:: None

property power: float[source]¶

Power of the noise realization.

Returns: Power in Watt.

class AWGNRealization(power, seed)[source]¶

Bases: NoiseRealization

Realization of additive white Gaussian noise

Parameters:

power (float) – Power indicator of the noise model.
seed (int) – Seed for the random number generator.

add_to(signal)[source]¶

Parameters:: signal (TypeVar(ST, bound= Signal)) – The signal to which the noise should be added.
Return type:: TypeVar(ST, bound= Signal)
Returns:: Signal model with added noise.

class NRT[source]¶

Type of noise realization

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