| smooth {tagtools} | R Documentation |
Low pass filter a time series
Description
This function is used to low pass filter (smooth) a regularly-sampled time series.
Usage
smooth(x, n)
Arguments
x |
The signal to be filtered. It can be multi-channel with a signal in each column, e.g., an acceleration matrix. The number of samples (i.e., the number of rows in x) must be larger than the filter length, n. |
n |
The smoothing parameter - use a larger number to smooth more. n must be greater than 1. Signal components above 1/n of the Nyquist frequency are filtered out. |
Value
The input signal has the first and fifth harmonic. Applying the low-pass filter removes most of the fifth harmonic so the output appears as a sinewave except for the first few samples which are affected by the filter startup transient. Smooth uses fir_nodelay to perform the filtering and so introduces no delay.
Examples
y1 <- sin((2 * pi * 0.05) %*% t(c(1:100))) + cos((2 * pi * 0.25) %*% t(c(1:100)))
x1 = c(1:length(y1))
plot(x = x1, y = y1)
y2 <- smooth(x1, n = 4)
x2 = c(1:length(y2))
plot(x = x2, y = y2)