WAVELET THEORY & APPLICATION WITH MATLAB

Category:
Technical Computing – MATLAB

Introduction:
A wavelet is a mathematical function used to divide a given function or continuous-time signal into different scale components. A wavelet transform is the representation of a function by wavelets. Wavelet transforms have advantages over traditional Fourier transforms for representing functions that have discontinuities and sharp peaks, and for accurately deconstructing and reconstructing finite, non-periodic and/or non-stationary signals.

Objective:
The objective is to provide a broadly accessible introduction to the underlying theory of wavelets, exploring various methods of using wavelet and its application. The examples are discussed and explored using MATLAB

Pre-requisites:
Candidate must have experience with basic computer operations and preferably attended our “Learner’s Guide to MATLAB”. A basic knowledge of Fourier transforms is recommended.

Duration:
1 Full Day

Content:

Introduction
• Overview & Historical Development
• Time & Frequency Domain Analysis
• Fourier Transforms Revisited
• Wavelet Transforms and its properties

Wavelet Methods
• Fourier vs Wavelet Transforms
• Wavelet Example – Haar Wavelet Transform
• Discrete Wavelet Transform for Image Compression, Multiresolution analysis)
• Analysis of Mallat’s algorithm
• Fast wavelet transform

Applications of Wavelet
• Wavelet-like filters
• Advantages of Wavelet
• Subband Coding
• Typical Applications

Conclusion
• Summary and Wrap-Up

Who Should Attend:
Researchers, Lecturers, Scientists, Engineers and Managers that are keen to understand wavelet theory and how MATLAB can be used to describe wavelet applications.