18.12 Wavelet Transforms (Pro Only)

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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