k-Wave Toolbox |
Shift time series to and from staggered temporal grid
data = timeShift(data, dt) data = timeShift(data, dt, true) data = timeShift(data, dt, false)
timeShift
shifts an input time series (or 2D array of time series) to and from a staggered temporal grid using Fourier interpolation. If the input data
is defined as a 2D array of time series, the temporal shift is performed along the second dimension assuming that the array is indexed as (n, t)
. This function can be used to shift the acoustic particle velocity recorded by the first-order simulation functions to the regular (non-staggered) temporal grid. An example of shifting a discretely sampled cosine is given below.
dt = pi/5; t = 0:dt:(2*pi - dt); y = cos(t); y_shift = timeShift(y, dt); y_ref = cos(t + dt/2); plot(t, y, 'k-s', t, y_shift, 'b-s', t, y_ref, 'rx'); legend('Original Function', 'Shifted Function', 'Reference');
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1D or 2D input data, for 2D input data, the time shift is performed along the second dimension |
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time step [s] |
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Boolean controlling whether the time series is shifted forward or backward in time (default = |
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shifted time series |
gradientSpect
, kspaceFirstOrder1D
, kspaceFirstOrder2D
, kspaceFirstOrder3D
, pstdElastic2D
, pstdElastic3D
stackedPlot | toneBurst |
© 2009-2014 Bradley Treeby and Ben Cox.