Wolfram Mathematica
Application Areas
Wavelet Analysis
Mathematica 8 introduces a complete integrated wavelet analysis system, including a large collection of wavelet families and multiple variants of discrete wavelet transforms, as well as continuous wavelet transforms. Wavelet transforms are easy to use, with each transform producing a symbolic transform representation that makes it easy to access, manipulate, and visualize the tree of transform coefficients. Mathematica's new wavelet functionality also allows direct work on multidimensional data, sounds, and images without any conversion.
- Large collection of discrete and continuous wavelet families. »
- Scaling functions (
), wavelet functions (
), and filter coefficients for all wavelet families to arbitrary precision. » - Discrete (DWT), stationary (SWT), and lifting wavelet transforms (LWT), including their inverses. »
- Discrete (DWPT) and stationary wavelet packet transforms (SWPT), including best basis computation. »
- Compute discrete wavelet transforms for data of any number of dimensions. »
- Discrete transforms can directly operate on sound and images. »
- Continuous wavelet transform (CWT), including inverse transform (ICWT). »
- Directly compute continuous wavelet transforms of sound. »
- Highly optimized performance and arbitrary-precision support for all transforms.
- All transforms produce symbolic wavelet decomposition that can be further manipulated. »
- Extensive support for wavelet thresholding methods. »
- Wavelet visualization functions, including scalogram and pyramid plots. »
Continuous Wavelet Families »Discrete Wavelet Families »Get Properties for Wavelet Families »/thumb_4.gif)
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Discrete Wavelet Transform (DWT) »Stationary Wavelet Transform (SWT) »Lifting Wavelet Transform (LWT) »/thumb_7.gif)
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Discrete Wavelet Packet Transform (DWPT) »Stationary Wavelet Packet Transform (SWPT) »Compare Discrete Wavelet Transforms »
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Transform Data of Any Number of Dimensions »Compute Wavelet Transforms to High Precision »Continuous Wavelet Transform (CWT) »
Directly Transform Multidimensional Arrays »Directly Transform Sound »Directly Transform Images »
Visualize Wavelet Transform Using Common x Axis Plot »Visualize Wavelet Transform Using Common y Axis Plot »Visualize Discrete Wavelet Transform Using a Scalogram »
Wavelet Matrix Plot »Wavelet Image Plot »Visualize Scalograms in Three Dimensions »
Use Different Wavelet Thresholding Methods »Threshold Multidimensional Data »Denoise an Image »
Compute Wavelet Best Basis »Two-Dimensional Discrete Wavelet Packet Transform »Dynamically Generate Lifting Equations »
Wavelet Image Fusion »Image Processing »Visualizing Wavelet Coefficient Distributions »RELATED FUNCTIONSWaveletPhi 
WaveletPsi WaveletFilterCoefficients BattleLemarieWavelet BiorthogonalSplineWavelet CDFWavelet CoifletWavelet DaubechiesWavelet DGaussianWavelet GaborWavelet HaarWavelet MexicanHatWavelet MeyerWavelet MorletWavelet PaulWavelet ReverseBiorthogonalSplineWavelet ShannonWavelet SymletWavelet ContinuousWaveletTransform DiscreteWaveletTransform InverseContinuousWaveletTransform InverseWaveletTransform LiftingWaveletTransform StationaryWaveletTransform WaveletMapIndexed WaveletThreshold WaveletBestBasis WaveletScalogram WaveletListPlot WaveletMatrixPlot WaveletImagePlot ArrayPad ContinuousWaveletData DiscreteWaveletDataMORE ABOUTSEE ALSO NEW IN 8- Comprehensive Image Processing Environment
- New and Improved Scientific and Information Visualization
- New in 7: Enhanced Fourier Analysis
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