torchsig.transforms.signal_transforms.AdjacentChannelInterference¶

class torchsig.transforms.signal_transforms.AdjacentChannelInterference(sample_rate: float = 1.0, power_range: Tuple = (0.01, 10.0), center_frequency_range: Tuple = (0.2, 0.3), phase_sigma_range: Tuple = (0.0, 1.0), time_sigma_range: Tuple = (0.0, 10.0), filter_weights: ndarray = array([-1.89348653e-05, -4.86615480e-05, 1.01582798e-19, 2.36540921e-04, 6.05941363e-04, 7.20581559e-04, -7.94094877e-19, -1.74529665e-03, -3.62675697e-03, -3.65889309e-03, 2.64646473e-18, 6.94698185e-03, 1.31768916e-02, 1.23340713e-02, -5.60356097e-18, -2.11191183e-02, -3.90359615e-02, -3.64209796e-02, 8.51475554e-18, 6.95575824e-02, 1.53901207e-01, 2.23197399e-01, 2.49994811e-01, 2.23197399e-01, 1.53901207e-01, 6.95575824e-02, 8.51475554e-18, -3.64209796e-02, -3.90359615e-02, -2.11191183e-02, -5.60356097e-18, 1.23340713e-02, 1.31768916e-02, 6.94698185e-03, 2.64646473e-18, -3.65889309e-03, -3.62675697e-03, -1.74529665e-03, -7.94094877e-19, 7.20581559e-04, 6.05941363e-04, 2.36540921e-04, 1.01582798e-19, -4.86615480e-05, -1.89348653e-05]), **kwargs)[source]¶

Bases: SignalTransform

Applies adjacent channel interference to Signal.

sample_rate¶

Sample rate (normalized). Defaults to 1.0.

Type:: float

power_range¶

Range bounds for interference power level (W). Defaults to (0.01, 10.0).

Type:: Tuple[float, float]

power_distribution¶

Random draw of interference power.

Type:: Callable[[], float]

center_frequency_range¶

Range bounds for interference center frequency (normalized). Defaults to (0.2, 0.3).

Type:: Tuple[float, float]

center_frequency_distribution¶

Random draw of interference power.

Type:: Callable[[], float]

phase_sigma_range¶

Range bounds for interference phase sigma. Defaults to (0.0, 1.0).

Type:: Tuple[float, float]

phase_sigma_distribution¶

Random draw of phase sigma.

Type:: Callable[[], float]

time_sigma_range¶

Range bounds for interference time sigma. Defaults to (0.0, 10.0).

Type:: Tuple[float, float]

time_sigma_distribution¶

Random draw of time sigma.

Type:: Callable[[], float]

filter_weights¶

Predefined baseband lowpass filter, fixed for all calls. Defaults to low_pass(0.125, 0.125, 1.0).

Type:: np.ndarray

Methods

`add_parent`	Add parent Seedable object and set up RNGs accordingly
`get_distribution`
`get_second_seed`	Gets second seed, usually used to seed both torch and numpy generators with slightly different seeds
`seed`	Seed number generators with given seed.
`setup_rngs`	Initialize torch and numpy number generators, and update its children.
`update`	Updates bookkeeping to transforms in Signal's SignalMetadata and checks signal valididty.
`update_from_parent`	Update numpy and torch number generators with parent seed

__init__(sample_rate: float = 1.0, power_range: Tuple = (0.01, 10.0), center_frequency_range: Tuple = (0.2, 0.3), phase_sigma_range: Tuple = (0.0, 1.0), time_sigma_range: Tuple = (0.0, 10.0), filter_weights: ndarray = array([-1.89348653e-05, -4.86615480e-05, 1.01582798e-19, 2.36540921e-04, 6.05941363e-04, 7.20581559e-04, -7.94094877e-19, -1.74529665e-03, -3.62675697e-03, -3.65889309e-03, 2.64646473e-18, 6.94698185e-03, 1.31768916e-02, 1.23340713e-02, -5.60356097e-18, -2.11191183e-02, -3.90359615e-02, -3.64209796e-02, 8.51475554e-18, 6.95575824e-02, 1.53901207e-01, 2.23197399e-01, 2.49994811e-01, 2.23197399e-01, 1.53901207e-01, 6.95575824e-02, 8.51475554e-18, -3.64209796e-02, -3.90359615e-02, -2.11191183e-02, -5.60356097e-18, 1.23340713e-02, 1.31768916e-02, 6.94698185e-03, 2.64646473e-18, -3.65889309e-03, -3.62675697e-03, -1.74529665e-03, -7.94094877e-19, 7.20581559e-04, 6.05941363e-04, 2.36540921e-04, 1.01582798e-19, -4.86615480e-05, -1.89348653e-05]), **kwargs)[source]¶: Transform initialization as Seedable.

__call__(signal: Signal) → Signal[source]¶

Performs transforms.

Parameters:: signal (Signal) – Signal to be transformed.
Raises:: NotImplementedError – Inherited classes must override this method.
Returns:: Transformed Signal.
Return type:: Signal

__repr__() → str¶

Transform string representation. Should be able to recreate class from this string.

Returns:: Transform representation.
Return type:: str

__str__() → str¶: Return str(self).

add_parent(parent) → None¶: Add parent Seedable object and set up RNGs accordingly

get_second_seed(seed: int) → int¶

Gets second seed, usually used to seed both torch and numpy generators with slightly different seeds

Parameters:: seed (int) – Seed to use.
Returns:: New seed.
Return type:: int

seed(seed: int) → None¶

Seed number generators with given seed.

Parameters:: seed (int) – Seed to use.

setup_rngs() → None¶: Initialize torch and numpy number generators, and update its children.

update(signal: Signal) → None¶

Updates bookkeeping to transforms in Signal’s SignalMetadata and checks signal valididty. Inherited classes should always call self.update() after performing transform operation (inside __call__).

Parameters:: signal (Signal) – Transformed signal.

update_from_parent() → None¶: Update numpy and torch number generators with parent seed