M.Tech I Year I Semester (R19)
None
On completion of this course student will be able to:
Fourier Analysis: Vector space, Hilbert spaces, Fourier basis, FT- Limitations of Fourier Analysis, Need for time-frequency analysis, DFT, 2D-DFT: Definition, Properties and Applications, IDFT, Hilbert Transform, STFT.
Transforms: Walsh, Hadamard, Haar and Slant Transforms, DCT, DST, KLT– Definition, Properties and applications.
Continuous Wavelet Transform (CWT): Short comings of STFT, Need for wavelets, Wavelet Basis- Concept of Scale and its relation with frequency, Continuous time wavelet Transform Equation- Series Expansion using Wavelets, CWT, Tiling of time scale plane for CWT, Important Wavelets: Haar, Mexican Hat, Meyer, Shannon, Daubechies.
Multi Rate Analysis and DWT: Need for Scaling function, Multi Resolution Analysis, Two-Channel Filter Banks, Perfect Reconstruction Condition, Relationship between Filter Banks and Wavelet Basis, DWT, Structure of DWT Filter Banks, Daubechies Wavelet Function, Applications of DWT.
Special Topics: Wavelet Packet Transform, Multidimensional Wavelets, Bi-orthogonal basis- B- Splines, Lifting Scheme of Wavelet Generation, Multi Wavelets.
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