sknrf.device.signal.tf module

sknrf.device.signal.tf.delta(shape, eps, out=None, dtype=torch.complex128, layout=torch.strided, device=None, requires_grad=False)
sknrf.device.signal.tf.delta_like(ts, eps, out=None, dtype=None, layout=torch.strided, device=None, requires_grad=False)
sknrf.device.signal.tf.pk(ts)

The peak amplitude of the signal over the time dimension.

sknrf.device.signal.tf.set_pk(ts, pk_)

Set the peak amplitude of the signal over the time dimension.

sknrf.device.signal.tf.avg(ts, rms=True)

The average amplitude of the signal over the time dimension.

sknrf.device.signal.tf.set_avg(ts, avg_, rms=True)

Set the average amplitude of the signal over the time dimension.

sknrf.device.signal.tf.par(ts, rms=True)

The average peak-to-average ratio (PAR) of the signal over the time dimension.

sknrf.device.signal.tf.iq(ts)

The normalized IQ of the signal over the time dimension.

sknrf.device.signal.tf.set_iq(ts, iq_)

Set the normalized IQ of the signal over the time sweep.

sknrf.device.signal.tf.tf(tf_)
sknrf.device.signal.tf.ff(tf_)
sknrf.device.signal.tf.tt(tf_)
sknrf.device.signal.tf.ft(tf_)