Wolfram U

Wavelet Applications

Estimated Time: 52 min

Course Level: Advanced


This video class presents examples from a variety of applications, 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.

Featured Products & Technologies: Wolfram Language

You'll 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
  • Perform wavelet thresholding using various methods
  • Compress image and data using wavelet packet transforms, wavelet best basis and wavelet thresholding
  • Combine two images in a variety of ways using wavelet analysis