Wavelet Analysis: Applications with Wolfram Language [eLearn]
Research, Wolfram2024
Streaming Video
Learn about wavelet analysis applications in the Wolfram Language.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.
Main title:
Wavelet Analysis: Applications with Wolfram Language [eLearn] / with Wolfram Research
Author:
Research, Wolfram, speakerlinkedin.com (Firm)
Imprint:
Carpenteria, CA linkedin.com, 2024.
Notes:
1/10/202412:00:00AM
Performers:
Cast: Presenter: Wolfram Research
System details:
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
LC class:
LDC4487985
Language:
English
BRN:
801262
Electronic access: