torchsig.transforms.impairments_wideband.WidebandImpairments¶
- class torchsig.transforms.impairments_wideband.WidebandImpairments(level: int, **kwargs)[source]¶
Bases:
ImpairmentsApplies impairements to Wideband dataset
Methods
Add parent Seedable object and set up RNGs accordingly
get_distributionGets second seed, usually used to seed both torch and numpy generators with slightly different seeds
Seed number generators with given seed.
Initialize torch and numpy number generators, and update its children.
Update bookeeping for signals
Update numpy and torch number generators with parent seed
- __init__(level: int, **kwargs)[source]¶
Initializes wideband impairments
- Parameters:
level (int) – Impairment level (0-2).
- __call__(signal: Signal | DatasetSignal) Signal | DatasetSignal¶
Performs transforms
- Parameters:
signal (Any) – Signal to be transformed.
- Raises:
NotImplementedError – Inherited classes must override this method.
- Returns:
Transformed Signal.
- Return type:
Any
- __repr__() str¶
Transform string representation. Should be able to recreate class from this string.
- Returns:
Transform representation.
- Return type:
- get_second_seed(seed: int) int¶
Gets second seed, usually used to seed both torch and numpy generators with slightly different seeds
- update(signal: Signal | DatasetSignal) None¶
Update bookeeping for signals
- Parameters:
signal (Signal | DatasetSignal) – signal to update metadata.
- Raises:
NotImplementedError – Inherited classes must override this method.