Prerequisites

MATLAB Fundamentals or equivalent experience using MATLAB ^®; signal processing background is highly recommended.

Wavelet Analysis with MATLAB

This one-day course shows how to use Wavelet Toolbox™ to perform wavelet analysis on signals. After motivating time-frequency analysis of time-varying signals using wavelets, both continuous and discrete wavelet-based techniques are covered. A background in signal processing is highly recommended for this course.

Topics include:

Performing time-frequency analysis using continuous wavelet transform
Building and using time-localized filters
Implementing multiresolution analysis using discrete wavelet transform
Denoising signals using wavelets

See detailed course outline

Prerequisites

MATLAB Fundamentals or equivalent experience using MATLAB ^®; signal processing background is highly recommended.

Day 1 of 1
Continuous Wavelet Analysis	Objective: Learn the motivation for using wavelets to analyze signals and the fundamentals of wavelet analysis. Interactive and programmatic time-frequency analysis using continuous wavelet transform Time-localized filtering Time-frequency resolution using wavelet synchrosqueezing and ridge extraction Wavelet coherence to find coherent time-varying oscillations in two signals
Discrete Wavelet Analysis	Objective: Learn how multiresolution analysis can be used to detect patterns in signals and reconstruct signals that retain only desired features. Multiresolution analysis Decimated and nondecimated discrete wavelet transforms Wavelet denoising Wavelet packet transform

Guaranteed to Run

When you register for one of these courses, you can rely on the fact that it won't be canceled or rescheduled for any reason.

MATLAB and Simulink Course Schedule

There are currently no scheduled classes for this course.