torchsig.transforms.impairments_narrowband

Narrowband Transforms and Impairments for Impairment Levels 0-2

Impairments are transforms applied to Signal objects, after the Signal Builder generates an isolated signal. Transforms are applied to DatasetSignal objects, after isolated signals are placed on an IQ cut of noise.

Example

>>> impairments = NarrowbandImpairments(level = 2, dataset_metadata=dm)
>>> sb = SignalBuilder(...)
>>> new_signal = sb.build()
>>> impaired_new_signal = impairments(new_signal)

>>> iq_samples = <random noise>
>>> iq_samples[start:stop] += new_signal.data
>>> new_dataset_signal = DatasetSignal(data=iq_samples, metadata=[impaired_new_signal.metadata])

>>> transforms = NarrowbandTransforms(level = 2, dataset_metadata=dm)
>>> transformed_dataset_signal = transforms(new_dataset_signal)

Classes

NarrowbandImpairments

Applies impairments to Narrowband dataset