Learn · Adv. Digital Signal Processing - Multirate and wavelets
Lecture 47 of 50Adv. Digital Signal Processing - Multirate and wavelets
L47-More Thoughts on Wavelets : Zooming In
Prof. V.M. Gadre · IIT Bombay
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- Adv. Digital Signal Processing - Multirate and wavelets, IIT Bombay (at NPTEL)
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- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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- Teens profiles and older. How courses are placed
All the lectures
- L1- Introduction
- L2-The Haar Wavelet
- L3-The Haar Multiresolution Analysis
- L4-Wavelets And Multirate Digital Signal Processing
- L5-Equivalence - Functions And Sequences
- L6-The Haar Filter Bank
- L7-Haar Filter Bank Analysis And Synthesis
- L8-Relating psi, phi and the Filters
- L9-Iterating the filter bank from Psi, Phi
- L10-Z-Domain Analysis Of Multirate Filter Bank
- L11-Two Channel Filter Bank
- L12-Perfect Reconstruction - Conjugate Quadrature
- L13-Conjugate Quadrature Filters - Daubechies Family of MRA
- L14-Daubechies' Filter Banks - Conjugate Quadrature Filters
- L15-Time And Frequency Joint Perspective
- L16- Ideal Time Frequency Behaviour
- L17- The Uncertainty Principle
- L18- Time Bandwidth Product Uncertainty
- L19- Evaluating and Bounding squareroot t.squareroot omega
- L20- The Time Frequency Plane & its Tilings
- L21- Short time Fourier Transform & Wavelet Transform in General
- L22- Reconstruction & Admissibility
- L23- Admissibility in Detail Discretization of Scale
- L24- Logarithmic Scale Discretization, Dyadic Discretization
- L25- The Theorem of (DYADIC) Multiresolution Analysis
- L26- Proof of the Theorem of (DYADIC) Multiresolution Analysis
- L27- Introducing Variants of The Multiresolution Analysis Concept
- L28- JPEG 2000 5/3 FilterBank & Spline MRA
- L29- Orthogonal Multiresolution Analysis with Splines
- L30- Building Piecewise Linear Scaling Function, Wavelet
- L31- The Wave Packet Transform
- L32- Nobel Identities & The Haar Wave Packet Transform
- L33- The Lattice Structure for Orthogonal Filter Banks
- L34- Constructing the Lattice & its Variants
- L35- The Lifting Structure & Polyphase Matrices
- L36-The Polyphase Approach - The Modulation Approach
- L-37 Modulation Analysis and The 3-Band Filter Bank, Applications
- L38-The Applications *Data Mining, *Face Recognition
- L39-Proof that a non-zero function can not be both time and band-limited
- L40- M-Band Filter Banks and Looking Ahead
- L41-Tutorial -Session 1
- L42-Student's Presentation
- L43-Tutorial on Uncertainty Product
- L44-Tutorial on Two band Filter Bank
- L45-Tutorial -Frequency Domain Analysis of Two band Filter Bank
- L46-Zoom in and Zoom out using Wavelet Transform
- L47-More Thoughts on Wavelets : Zooming In
- L48-Towards selecting Wavelets through vanishing moments
- L49-In Search of Scaling Coefficients
- L50-Wavelet Applications