remove constant, linear or piecewise linear trend from a vector
y = detrend(x) y = detrend(x,flag) y = detrend(x,flag,bp)
vector or matrix of real or complex numbers (the signal to treat)
a string equal to "linear" (or "l") for linear or piecewise linear treatment or "constant" (or "c") for constant treatment.
the breakpoints to provide if you want a piecewise linear treatment.
output, the signal x with the trend removed from it.
This function removes the constant or linear or
piecewise linear trend from a vector
x. In general
this can be useful before a fourier analysis. If
matrix this function removes the trend of each column of x.
flag = "constant" or "c"
detrend removes the constant trend
(simply the mean of the signal) and when
flag = "linear" or "l" the function
removes the linear trend. By adding a third argument
bp it is possible to
remove a continuous piecewise linear trend. Note that the "instants" of the signal
x goes from 0 to m-1 (m = length(x) if x is a vector and m = size(x,1) in case
x is a matrix). So the breakpoints
bp(i) must be reals in [0 m-1]
(breakpoints outside are simply removed from
The trend is got by a least square fit of
x on the appropriate function space.
t = linspace(0,16*%pi,1000)'; x = -20 + t + 0.3*sin(0.5*t) + sin(t) + 2*sin(2*t) + 0.5*sin(3*t); y = detrend(x); clf() plot2d(t,[x y],style=[2 5]) legend(["before detrend","after detrend"]); xgrid()
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