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Owning Palette: Wavelet Analysis VIs

Installed With: Advanced Signal Processing Toolkit. This topic might not match its corresponding palette in LabVIEW depending on your operating system, licensed product(s), and target.

Use the Discrete Wavelet VIs to compute the discrete wavelet transform or the inverse discrete wavelet transform, the undecimated wavelet transform or the inverse undecimated wavelet transform, the integer wavelet transform or the inverse integer wavelet transform, and the arbitrary path transform or reconstruction.

The VIs on this palette can return general LabVIEW error codes or specific wavelet analysis error codes.

Palette Object	Description
Arbitrary Path Analysis	Decomposes a signal according to the paths you specify and reconstructs the signal from the corresponding path coefficients.
Multiresolution Analysis 2D	Decomposes a 2D image according to the level you specify and reconstructs the 2D image from the frequency bands you select.
Multiresolution Analysis	Decomposes a signal according to the level you specify and reconstructs the signal from the frequency bands you select.
WA Arbitrary Path Decomposition	Performs subband decomposition by cascading the lowpass analysis filters and the highpass analysis filters and applies a decimation factor of 2 after each filtering step. path specifies the subband and determines how to cascade the lowpass analysis filters and the highpass analysis filters. Wire data to the signal input to determine the polymorphic instance to use or manually select the instance.
WA Arbitrary Path Reconstruction	Reconstructs a signal with subband coefficients. Wire data to the path coef input to determine the polymorphic instance to use or manually select the instance.
WA Discrete Wavelet Transform	Computes the multi-level discrete wavelet transform (DWT) of signal. This VI returns the approximation coefficients at the largest level and the detail coefficients at all levels for a 1D signal input. This VI returns the approximation coefficients and the detail coefficients at all levels for a 2D signal input. This VI computes the discrete wavelet transform at each level by using the lowpass analysis filters, the highpass analysis filters, and a decimation factor of 2. Wire data to the signal input to determine the polymorphic instance to use or manually select the instance.
WA Integer Wavelet Transform	Uses the lifting scheme to compute the multi-level integer wavelet transform (IWT) of signal. This VI returns the approximation coefficients at the largest level and the detail coefficients at all levels for a 1D signal input and returns the approximation coefficients and the detail coefficients at all levels for a 2D signal input. Wire data to the signal input to determine the polymorphic instance to use or manually select the instance.
WA Inverse Discrete Wavelet Transform	Computes the multi-level inverse discrete wavelet transform (DWT) and returns the reconstructed signal from the approximation coefficients and the detail coefficients. An interpolator with a factor 2 and the lowpass synthesis filters and the highpass synthesis filters implement the inverse discrete wavelet transform at each level. Wire data to the DWT coef input to determine the polymorphic instance to use or manually select the instance.
WA Inverse Integer Wavelet Transform	Computes the multi-level inverse integer wavelet transform (IWT) and returns the reconstructed signal from the approximation coefficients and the detail coefficients. Wire data to the IWT coef input to determine the polymorphic instance to use or manually select the instance.
WA Inverse Undecimated Wavelet Transform	Computes the multi-level inverse undecimated wavelet transform (UWT) and returns the reconstructed signal from the approximation coefficients and the detail coefficients. Wire data to the UWT coef input to determine the polymorphic instance to use or manually select the instance.
WA Undecimated Wavelet Transform	Computes the multi-level undecimated wavelet transform (UWT) of signal. This VI returns the approximation coefficients at the largest level and the detail coefficients at all levels for a 1D signal input and returns the approximation coefficients and the detail coefficients at all levels for a 2D signal input. The approximation coefficients and the detail coefficients at all levels are the same size as signal. The results of the undecimated wavelet transform have the translation invariant property, which is helpful in robust feature extraction and pattern recognition. Wire data to the signal input to determine the polymorphic instance to use or manually select the instance.
Wavelet Design	Designs customized analysis filters and synthesis filters for discrete wavelet analysis and reconstruction, respectively.

Subpalette	Description
Filter Banks VIs	Use the Filter Banks VIs to apply a two-channel filter bank to compute single-level discrete wavelet transform or synthesis, to compute the mother wavelet function and the scaling function from the filter bank, and to get the coefficients of the analysis filters and the synthesis filters for a predefined wavelet.

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