Wavelet Transform and Applications
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Follow on Instagram for UpdatesWavelet Transform and Applications Syllabus — Unit-wise Content
The official GTU curriculum for Wavelet Transform and Applications (subject code ME01026031) as prescribed for EAC( · Semester 1 divides the course into 7 units, covering 13 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (ME01026031)Unit 1 Introduction
- Origin of wavelets and its history Different communities of wavelet Classification: continuous and discrete wavelet transforms Developments in wavelet theory applications
Unit 2 Continuous Wavelet Transform
- Introduction Continuous time wavelets Definition of CWT Constant Q factor filtering interpretation and Time Frequency Resolution CWT as an operator Inverse CWT
Unit 3 Introduction to the Discrete Wavelet Transform and orthogonal
- Wavelet decomposition: Approximations of vectors in nested linear vector subspaces Multi-resolution Analysis of L2 (R) Haar Scaling function Haar wavelet Haar wavelet decomposition. Haar wavelet packets and application
Unit 4 MRA Ortho-normal wavelets and their relationships to filter
- banks: Construction of an ortho-normal MRA Wavelet basis for the MRA Digital filtering interpretation Examples of orthogonal basis generating wavelets Interpreting ortho-normal MRA for discrete time signals Generating scaling functions and wavelets from filter coefficients
Unit 5 Bi-orthogonal Wavelets
- Bi-orthogonal Wavelet bases Filtering relationship for Bi-orthogonal filters Bi-orthogonal scaling functions and wavelets Two dimensional wavelets Non separable Multi- dimensional wavelets Wavelet Packets
Unit 6 Wavelength Transform and applications
- Transform coding DTWT for image compression
- audio compression Wavelet based audio coding
- video coding and multi resolution Techniques Wavelet de-noising
- Speckle removal
- Edge detection and object isolation Image fusion
- Object detection
- discrete wavelet multi-tone modulation
Unit 7 Beyond Wavelet
- Ridge lets and curve lets: Ridge let transform and Digital Curve let transform Curve let construction Properties and applications
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