fracshift | R Documentation |
Shift a signal by a (possibly fractional) number of samples.
fracshift(x, d, h = NULL)
x |
input data, specified as a numeric vector. |
d |
number of samples to shift |
h |
interpolator impulse response, specified as a numeric vector. If NULL (default), the interpolator is designed by a Kaiser-windowed sinecard. |
The function calculates the initial index and end index of the sequences of
1’s in the rows of x
. The clusters are sought in the rows of the array
x
. The function works by finding the indexes of jumps between
consecutive values in the rows of x
.
A list of matrices size nr
, where nr
is the number of
rows in x
. Each element of the list contains a matrix with two rows.
The first row is the initial index of a sequence of 1s and the second row
is the end index of that sequence. If nr == 1
the output is a matrix
with two rows.
Eric Chassande-Mottin, ecm@apc.univ-paris7.fr,
Juan Pablo Carbajal, carbajal@ifi.uzh.ch,
Conversion to R by Geert van Boxtel, G.J.M.vanBoxtel@gmail.com.
[1] A. V. Oppenheim, R. W. Schafer and J. R. Buck,
Discrete-time signal processing, Signal processing series,
Prentice-Hall, 1999.
[2] T.I. Laakso, V. Valimaki, M. Karjalainen and U.K. Laine
Splitting the unit delay, IEEE Signal Processing Magazine,
vol. 13, no. 1, pp 30–59 Jan 1996.
N = 1024
t <- seq(0, 1, length.out = N)
x <- exp(-t^2 / 2 / 0.25^2) * sin(2 * pi * 10 * t)
dt <- 0.25
d <- dt / (t[2] - t[1])
y <- fracshift(x, d)
plot(t, x, type = "l", xlab = "Time", ylab = "Sigfnal")
lines (t, y, col = "red")
legend("topright", legend = c("original", "shifted"), lty = 1, col = 1:2)
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