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The reconstructed images were post-filtered using a Butterworth filter [28] with a cut-off frequency of 0.6 cm−1 and a power of 6.
For qualitative comparison, the measured projections were also reconstructed using the clinical reconstruction algorithm, which involves 40 iterations of a regularized (α = 0.51 and β = 0.3) one-step-late Green ML-EM algorithm [44] and post-filtered using a Butterworth filter (cut-off: 0.37, order: 7).
All data was filtered using a Butterworth filter (cutoff 0.55 cm−1, power factor 10).
Images were reconstructed using a Butterworth filter (with a cut-off of 0.5 and an order of 6).
The data were pre-processed using a Butterworth filter with a cutoff frequency of 0.10 cycles per pixel and a power factor of eight.
We use this processing block to further reduce the magnetic field contributions with length-scales larger than 10° in arc-length along the satellite orbit using a Butterworth filter with a sharp cutoff (filter of order 20).
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Our analysis used a Butterworth filter in the frequency band of 0.1 to 1.2 Hz.
The synthetics are filtered using a Butterworth bandpass filter between 20 and 50 s.
Accelerometer data and speed were filtered using a Butterworth bandpass filter (cut-offs: 1 Hz, 7 Hz).
The scans were reconstructed after filtered-back-projection using a Butterworth 0.30/6 filter.
Horizontal and vertical point displacements and the torque data were smoothed using a Butterworth digital filter with optimal cut-off frequencies determined through residual and power spectral analyses [38].
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