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    3. Wavelet Analysis: Applications with Wolfram Language

    Wavelet Analysis: Applications with Wolfram Language

    Posted By: lucky_aut
    Date: 10 Jan 2024 18:20:05
    Wavelet Analysis: Applications with Wolfram Language

    Wavelet Analysis: Applications with Wolfram Language
    Released: 1/10/2024
    Duration: 51m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 121 MB
    Genre: eLearning | Language: English


    This course presents examples from a variety of wavelet analysis applications in the Wolfram Language, including financial time series, edge detection and denoising of images, thresholding, image and data compression, and image fusion. Familiarity with Fourier transforms and data smoothing methods is recommended for this class. Learn to analyze a time series using wavelets for detecting discontinuities, isolating peaks and inspecting nonstationary behavior; apply wavelet analysis to financial data; detect edges and discontinuities in images and other two-dimensional data; reduce noise in images by removing higher-frequency components; and more.

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