Removes the trend from 1D signals by setting the approximation coefficients to zeros. Wire data to the signal input to determine the polymorphic instance to use or manually select the instance.


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WA Detrend Details

The trend of the input signal is the slow-varying part of the signal that mainly contributes to the approximation coefficients. This VI applies the following steps to implement the detrend function.

  1. Applies the discrete wavelet transform (DWT) to the input signal.
  2. Sets the approximation coefficients to 0.
  3. Reconstructs the signal based on all the detail coefficients.

Examples

Refer to the Detrend and Trend Estimation VI in the labview\examples\Wavelet Analysis\WAGettingStarted directory for an example of using the WA Detrend VI.