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Wavelet Explorer generates scaling functions, wavelets, and wavelet packets from a given filter. The filters provided in Wavelet Explorer include Haar, Shannon, Meyer, Battle-Lemarie, Daubechies, and biorthogonal spline.

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Wavelet Explorer is an excellent tutorial for those new to wavelet theory and contains many examples that start with the basics.

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Wavelet analysis goes beyond the capabilities of Fourier analysis. The graph in this example shows that the cumulative energy of the Fourier coefficients (dotted line) is well below the wavelet coefficients (solid line). The wavelet transform is able to concentrate more energy in fewer modes than the Fourier transform, thus requiring fewer coefficients to reproduce the signal. ZOOM Screen

Using Wavelet Explorer, you can visualize scaling functions, wavelets, and wavelet packets.

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You can transform your data to a host of wavelet bases, wavelet packet bases, or local trigonometric bases.

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Wavelet's Explorer's built-in functions make data compression and denoising surprisingly simple procedures.

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The FBI uses wavelets to compress its growing database of over two hundred million fingerprint records. Here's an example from Wavelet Explorer showing one of the methods used to compress a fingerprint.

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Wavelet Explorer can zoom in on the details of scaling functions, wavelets, and wavelet packets.

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