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JWave - Java implementation of a Discrete Fourier Transform (DFT), a Fast Wavelet Transform (FWT), and a Wavelet Packet Transform (WPT) algorithm in 1-D, 2-D, and 3-D using normalized orthogonal (orthonormal) Haar, Coiflet, Daubechie, Legendre and normalized biorthognal wavelets.

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JWave

Java implementation of a discrete fourier transform (DFT) algorithm, a fast wavelet transform (FWT) algorithm, and a wavelet packet transform (WPT) algorithm in 1-D, 2-D, and 3-D.

The wavelet transform algorithms are using normalized orthogonal (orthonormal) Haar, Coiflet, Daubechies, and Legendre wavelets as known by the multi-scale analysis. Furthermore the BiOrthogonal wavelet family, Symlets and the Discrete Mayer FIR filter are available too.

The implementation of JWave is based on several Design Patterns and - hopefully - appears user-friendly. However, have a look at the Wiki pages for a usage info.

Have fun Christian.

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JWave - Java implementation of a Discrete Fourier Transform (DFT), a Fast Wavelet Transform (FWT), and a Wavelet Packet Transform (WPT) algorithm in 1-D, 2-D, and 3-D using normalized orthogonal (orthonormal) Haar, Coiflet, Daubechie, Legendre and normalized biorthognal wavelets.

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