PRODUCTS Mathematica Mathematica Home Edition Mathematica for Students ... Give us feedback Sign up for our newsletter: New Generation Signal and Image Analysis Discover the power of wavelets! Wavelet analysis, in contrast to Fourier analysis, uses approximating functions that are localized in both time and frequency space. It is this unique characteristic that makes wavelets particularly useful, for example, in approximating data with sharp discontinuities. Engineers, physicists, astronomers, geologists, medical researchers, and others explore the extraordinary array of potential applications of wavelet analysis. Ranging from signal and image processing to data analysis, Wavelet Explorer brings this broad spectrum of wavelet analysis tools to your desktop. Wavelet Explorer 's ready-to-use functions and utilities let you apply a variety of wavelet transforms to your projects. Generate commonly used filters such as the Daubechies' extremal phase and least asymmetric filters, coiflets, spline filters, and more. Visualize wavelets and wavelet packets and zoom in on their details. You can transform your data to a host of wavelet bases, wavelet packet bases, or local trigonometric bases and do inverse transforms in one and two dimensions. Then view the transform in time-frequency space, selecting different bases and boundary conditions. Data compression and denoising are surprisingly simple procedures with Wavelet Explorer 's built-in functions. | |
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