Scilab Function
Last update : 00/00/0000

detrend - remove constant, linear or piecewise linear trend from a vector

### Calling Sequence

  `y = detrend(x)`
  `y = detrend(x,flag)`
  `y = detrend(x,flag,bp)`

### Parameters

- `x` : vector or matrix of real or complex numbers (the signal to treat)
- `flag` : a string equal to "linear" (or "l") for linear or piecewise linear treatment or "constant" (or "c") for constant treatment.
- `bp` : the breakpoints to provide if you want a piecewise linear treatment.
- `y` : output, the signal x with the trend removed from it.

### Description

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 `x` is matrix this function removes the trend of each column of x.

When `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 `bp` vector).

The trend is got by a least square fit of `x` on the appropriate function space.

### Examples

    // example #1
    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);
    xbasc()
    plot2d(t,[x y],style=[2 5])
    legend(["before detrend","after detrend"]);
    xgrid()

    // example #2
    t = linspace(0,32*%pi,2000)';
    x = abs(t-16*%pi) + 0.3*sin(0.5*t) + sin(t) + 2*sin(2*t) + 0.5*sin(3*t);
    y = detrend(x,"linear",1000);
    xbasc()
    plot2d(t,[x y],style=[2 5])
    legend(["before detrend","after detrend"]);
    xgrid()

### Author

Bruno Pincon