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Course Detail

Course Name Wavelets
Course Code 26MAT338
Program 5 Year Integrated M.Sc in Data Science
Credits 3
Campus Coimbatore

Syllabus

Syllabus

The Discrete Fourier Transform: Basic Properties of the Discrete Fourier Transform, Translation-Invariant Linear Transformations, The Fast Fourier Transform. Wavelets on Z_n: Construction of Wavelets on Z_n – The First Stage, Construction of Wavelets on Z_n – The Iteration Step, Examples and Applications.Wavelets on Z: l^2 (Z), complete Orthonormal Sets in Hilbert Spaces, L^2 ([-?,?)) and Fourier Series, The Fourier Transform and Convolution on l^2 (Z), First-Stage Wavelets on Z, The Iteration Step for Wavelets on Z, Implementation and Examples. Wavelets on R:L^2 (R)and Approximate Identities, The Fourier Transform on R, Multiresolution Analysis and Wavelets, Construction of Multiresolution Analyses, Wavelets with Compact Support and their Computation.

Text Books / References

Text Book:

  1. Michael W. Frazier, An Introduction to Wavelets Through Linear Algebra, Springer,1999.

References:

  1. Daubechis, Ten Lectures on Wavelets, SIAM, 1992.
  2. Mallat, S.  A Wavelet Tour of Signal Processing, Elsevier, 2008

Objectives and Outcomes

Course Outcomes
CO1 Comprehend the basic properties of Discrete Fourier transform.
CO2 Analyze the construction of Wavelets on .
CO3 Analyze the construction of Wavelets on through and .
CO4 Apply the concepts of Wavelets on to construct Multiresolution Analysis.

CO-PO Mapping

  PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
CO1 3 3 2 2 2 2         1 1
CO2 3 3 2 2 2 2         1 1
CO3 3 3 2 2 3 2         1 1
CO4 3 2 2 2 2 2         1 1
CO5 2 1 2 1 2 1         1 1

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