torchsig.transforms.functional.phase_noise¶

torchsig.transforms.functional.phase_noise(data: ~numpy.ndarray, phase_noise_degrees: float = 1.0, rng: ~numpy.random._generator.Generator = Generator(PCG64) at 0x7694D3FA4F20) → ndarray[source]¶

Mixes data with a Local Oscillator (LO) with phase noise modeled as a Gaussian RV.

Parameters:

data (np.ndarray) – Complex valued IQ data samples.
phase_noise_degrees (float) – Phase noise in degrees. Used as standard deviation for Gaussian distribution. Defaults to 1.0.
rng (np.random.Generator, optional) – Random number generator. Defaults to np.random.default_rng(seed=None).

Returns:

Data mixed with noisy LO.

Return type:

np.ndarray