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    Wavelet Analysis: Concepts with Wolfram Language

    Posted By: IrGens
    Wavelet Analysis: Concepts with Wolfram Language

    Wavelet Analysis: Concepts with Wolfram Language
    .MP4, AVC, 960x720, 30 fps | English, AAC, 2 Ch | 49m | 106 MB
    Created by Wolfram Research

    Wavelets decompose a signal into approximations and details at different scales, making them useful for applications such as data compression, detecting features and removing noise from signals.

    This course from Wolfram Research explains some of the theory behind continuous, discrete, and stationary wavelet transforms and demonstrates how the Wolfram Language and its built-in functions can be used to construct, compute, visualize, and analyze wavelet transforms and related functions.


    Wavelet Analysis: Concepts with Wolfram Language