 | Float |
The stationary wavelet transform (SWT) is an advanced development of the discrete wavelet transfrom (DWT).
The DWT lacks signal translation-invariance. By using an up and down sampling strategy, often refered to
by its french name of "algorithme à trous", the SWT gains translation-invariance.
Inheritance HierarchyNamespace: CenterSpace.NMath.Core
Assembly: NMath (in NMath.dll) Version: 7.4
SyntaxThe FloatSWT type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | FloatSWT(FloatSWT) | Creates a deep copy of this discrete wavelet transform object. |
| FloatSWT(FloatWavelet) | Creates a discrete stationary wavelet transform class using the given wavelet. Set the Signal property before decomposing the signal with the SWT. |
| FloatSWT(Single, FloatWavelet) | Creates a discrete stationary wavelet transform class using the given wavelet. |
Properties| Name | Description | |
|---|---|---|
 | mode |
The current wavelet signal edge management mode.
(Inherited from DiscreteWaveletTransform) |
| Signal | Gets and Sets the signal data to be transformed. |
| Wavelet | The assigned wavelet. |
Methods| Name | Description | |
|---|---|---|
| Clone | Returns a deep copy of this object. |
 | ComputeThreshold |
Finds a single threshold for a given thresholding method and decomposition level.
(Inherited from DiscreteWaveletTransform) |
| CurrentDecompLevel | Provides the current maximum level to which this signal has been decomposed. |
| DecompLength |
Provides the length of the DWT approximation and detail coefficient vectors.
(Inherited from DiscreteWaveletTransform) |
| Decompose | Decompose the signal into approximation and details with the SWT. |
| MaximumDecompLevel | Provides the maximum number of DWT decompositions possible based on the signal and wavelet lengths. |
| Reconstruct | A complete multi-level discrete wavelet reconstruction. A signal decomposition must be first completed. |
| WaveletCoefficients | Provides access to the details and approximation vectors. All details and approximation vectors are the same length with a SWT signal decomposition. |
Fields| Name | Description | |
|---|---|---|
 | mode_ |
The current mode of signal edge management.
(Inherited from DiscreteWaveletTransform) |
| wavelet_ |
The associated wavelet.
(Inherited from DiscreteWaveletTransform) |
Remarks
See for more details:
"The Discrete Wavelet Transform: Wedding the A Trous and Mallat Algorithms", by Mark J. Shensa
See Also