Convert the number of bits in a DAC/ADC to Signal-to-Quantization Noise Ratio in rU
Resample X to num samples using Fourier method along the given axis.
The resampled signal starts at the same value as x but is sampled
with a spacing of len(x) / num * (spacing of x)
. Because a
Fourier method is used, the signal is assumed to be periodic.
The data to be resampled.
The number of samples in the resampled signal.
The axis of x that is resampled. Default is 0.
See also
decimate
Downsample the signal after applying an FIR or IIR filter.
resample_poly
Resample using polyphase filtering and an FIR filter.
Synthesize a phasor frequency sweep.
Sweeps positive and negative frequencies individually (one-tone) using:
iq = exp^{j2 pi f_m t}
IQ waveform of shape (1, t_points, f_points).
Fundamental frequency sweep of shape (fm_points).
Level the frequency sweep with a 1/sinc(t) filter.
Keep the full dimensionality of the sweep.
IQ waveform of shape (fm_points, t_points, f_points).
Synthesize a Double-Sideband (DSB) frequency sweep.
Sweeps positive and negative frequencies simultaneously (two-tone) using:
iq = sin( 2 pi f_m t )
IQ waveform of shape (1, t_points, f_points).
Fundamental frequency sweep of shape (fm_points).
Level the frequency sweep with a 1/sinc(t) filter.
Keep the full dimensionality of the sweep.
IQ waveform of shape (fm_points, t_points, f_points).
Synthesize a Single-Sideband (SSB) frequency sweep.
Sweeps positive and negative frequencies independently (one-tone), using:
iq = sin( 2 pi f_m t )
IQ waveform of shape (1, t_points, f_points).
Fundamental frequency sweep of shape (fm_points).
Level the frequency sweep with a 1/sinc(t) filter.
Keep the full dimensionality of the sweep.
IQ waveform of shape (fm_points, t_points, f_points).