Wavelet transforms are useful for analyzing signals for sudden changes of phase and frequency, local maxima and minima, or related parameters. Wavelet transforms have been shown to have applications to a wide variety of problems, general examples include data compression, signal smoothing, noise removal, and image analysis, while DNA analysis and speech recognition are some discipline-specific examples. Origin's wavelet transform tools support continuous and discrete transforms, using algorithms developed by the Numerical Algorithms Group (NAG).
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