Concept

Analytic signal

Related lectures (24)

Covers the design of wavelets using Fourier transform and procedures for selecting wavelet functions.

Explains signal sampling, the need for discrete sampling, errors, quantization, and choosing the right sampling period.

Explores signal representations, including Fourier transform, time-frequency analysis, and multi-resolution analysis using window functions like Gaussians.

Image Processing II: Wavelet Transform and Multiresolution Analysis

Explores wavelet transforms, multiscale analysis, Haar expansion, and image pyramids in image processing.