Wavelet

Linkedin Learning – Wavelet Analysis Concepts with Wolfram Language

Linkedin Learning – Wavelet Analysis Concepts with Wolfram Language
English | Tutorial | Size: 106.20 MB


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.

Linkedin Learning – Wavelet Analysis Applications with Wolfram Language

Linkedin Learning – Wavelet Analysis Applications with Wolfram Language
English | Tutorial | Size: 121.57 MB


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.