Self-Interference¶

Inheritance diagram of hermespy.simulation.evaluators.interference.SI, hermespy.simulation.evaluators.interference.SSINR

class SI(device, confidence=1.0, tolerance=0.0, min_num_samples=1024, plot_scale='linear', tick_format=ValueType.LIN, plot_surface=True)[source]¶

Bases: ScalarEvaluator, Serializable

Evaluate a simulated device’s self-interference power.

Parameters:

device (SimulatedDevice) – The device to evaluate.
confidence (float) – Required confidence level for the given tolerance between zero and one.
tolerance (float) – Acceptable non-negative bound around the mean value of the estimated scalar performance indicator.
min_num_samples (int) – Minimum number of samples required to compute the confidence bound.
plot_scale (str) – Scale of the plot. Can be 'linear' or 'log'.
tick_format (ValueType) – Tick format of the plot.
plot_surface (bool) – Enable surface plotting for two-dimensional grids. Enabled by default.

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:: SI
Returns:: The deserialized object.

evaluate()[source]¶

Evaluate the state of an investigated object.

Implements the process of extracting an arbitrary performance indicator, represented by the returned Artifact \(X_m\).

Returns: Artifact \(X_m\) resulting from the evaluation.

Return type:: PowerEvaluation

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 abbreviation: str[source]¶

Short string representation of this evaluator.

Used as a label for console output and plot axes annotations.

property title: str[source]¶

Long string representation of this evaluator.

Used as plot title.

class SSINR(device, confidence=1.0, tolerance=0.0, min_num_samples=1024, plot_scale='linear', tick_format=ValueType.LIN, plot_surface=True)[source]¶

Bases: SI

Signal to self-interfernce plus noise power ratio evaluator.