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Adv. Digital Signal Processing - Multirate and wavelets

Prof. V.M. Gadre

6 followers

Adv. Digital Signal Processing - Multirate and wavelets

Adv. Digital Signal Processing - Multirate and wavelets

Validity Unlimited Adv. Digital Signal Processing - Multirate and wavelets All Level Adv. Digital Signal Processing - Multirate and wavelets English

0.0 (0)
Free

About This Course

Signal Processing is one of the important research fields that is used widely these days in different aspects of our lives. It is a wide area of research that extends from the simplest form of one-dimensional (1-D) signal processing (e.g., 1-D filters) to the complex form of multi-dimensional (M-D) (e.g. M-D filters). In signal processing, a filter is used to remove or modify some components or features of a signal. A filter bank is an array of filters that separates the input signal into multiple components, each one carrying a single frequency sub-band of the original signal. Filter banks have a lot of applications these days. In filter banks the process of decomposition performed by the filter bank is called analysis and the reconstruction process is called synthesis. This article provides a short survey of the concepts, principles and applications of Multirate Filter Banks and Multidimensional Directional Filter Banks.

  • Adv. Digital Signal Processing - Multirate and wavelets Total 1 Module
  • Adv. Digital Signal Processing - Multirate and wavelets 50 Videos
  • Adv. Digital Signal Processing - Multirate and wavelets Downloadable on mobile
  • Adv. Digital Signal Processing - Multirate and wavelets Published on 26 June, 2019

Course Curriculum

Adv. Digital Signal Processing - Multirate and wavelets

Adv. Digital Signal Processing - Multirate and wavelets
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    L1- Introduction

    52m <?php echo  $alt; ?>
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    L2-The Haar Wavelet

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    L3-The Haar Multiresolution Analysis

    53m <?php echo  $alt; ?>
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    L4-Wavelets And Multirate Digital Signal Processing

    53m <?php echo  $alt; ?>
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    L5-Equivalence - Functions And Sequences

    53m <?php echo  $alt; ?>
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    L6-The Haar Filter Bank

    51m <?php echo  $alt; ?>
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    L7-Haar Filter Bank Analysis And Synthesis

    53m <?php echo  $alt; ?>
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    L8-Relating psi, phi and the Filters

    54m <?php echo  $alt; ?>
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    L9-Iterating the filter bank from Psi, Phi

    54m <?php echo  $alt; ?>
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    L10-Z-Domain Analysis Of Multirate Filter Bank

    53m <?php echo  $alt; ?>
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    L11-Two Channel Filter Bank

    53m <?php echo  $alt; ?>
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    L12-Perfect Reconstruction - Conjugate Quadrature

    54m <?php echo  $alt; ?>
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    L13-Conjugate Quadrature Filters - Daubechies Family of MRA

    54m <?php echo  $alt; ?>
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    L14-Daubechies' Filter Banks - Conjugate Quadrature Filters

    52m <?php echo  $alt; ?>
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    L15-Time And Frequency Joint Perspective

    52m <?php echo  $alt; ?>
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    L16- Ideal Time Frequency Behaviour

    52m <?php echo  $alt; ?>
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    L17- The Uncertainty Principle

    59m <?php echo  $alt; ?>
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    L18- Time Bandwidth Product Uncertainty

    53m <?php echo  $alt; ?>
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    L19- Evaluating and Bounding squareroot t.squareroot omega

    53m <?php echo  $alt; ?>
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    L20- The Time Frequency Plane & its Tilings

    54m <?php echo  $alt; ?>
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    L21- Short time Fourier Transform & Wavelet Transform in General

    54m <?php echo  $alt; ?>
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    L22- Reconstruction & Admissibility

    59m <?php echo  $alt; ?>
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    L23- Admissibility in Detail Discretization of Scale

    53m <?php echo  $alt; ?>
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    L24- Logarithmic Scale Discretization, Dyadic Discretization

    54m <?php echo  $alt; ?>
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    L25- The Theorem of (DYADIC) Multiresolution Analysis

    54m <?php echo  $alt; ?>
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    L26- Proof of the Theorem of (DYADIC) Multiresolution Analysis

    52m <?php echo  $alt; ?>
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    L27- Introducing Variants of The Multiresolution Analysis Concept

    53m <?php echo  $alt; ?>
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    L28- JPEG 2000 5/3 FilterBank & Spline MRA

    53m <?php echo  $alt; ?>
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    L29- Orthogonal Multiresolution Analysis with Splines

    53m <?php echo  $alt; ?>
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    L30- Building Piecewise Linear Scaling Function, Wavelet

    51m <?php echo  $alt; ?>
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    L31- The Wave Packet Transform

    55m <?php echo  $alt; ?>
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    L32- Nobel Identities & The Haar Wave Packet Transform

    53m <?php echo  $alt; ?>
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    L33- The Lattice Structure for Orthogonal Filter Banks

    53m <?php echo  $alt; ?>
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    L34- Constructing the Lattice & its Variants

    55m <?php echo  $alt; ?>
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    L35- The Lifting Structure & Polyphase Matrices

    52m <?php echo  $alt; ?>
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    L36-The Polyphase Approach - The Modulation Approach

    52m <?php echo  $alt; ?>
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    L-37 Modulation Analysis and The 3-Band Filter Bank, Applications

    56m <?php echo  $alt; ?>
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    L38-The Applications *Data Mining, *Face Recognition

    56m <?php echo  $alt; ?>
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    L39-Proof that a non-zero function can not be both time and band-limited?

    57m <?php echo  $alt; ?>
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    L40- M-Band Filter Banks and Looking Ahead

    56m <?php echo  $alt; ?>
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    L41-Tutorial -Session 1

    56m <?php echo  $alt; ?>
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    L42-Student's Presentation

    41m <?php echo  $alt; ?>
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    L43-Tutorial on Uncertainty Product

    41m <?php echo  $alt; ?>
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    L44-Tutorial on Two band Filter Bank

    52m <?php echo  $alt; ?>
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    L45-Tutorial -Frequency Domain Analysis of Two band Filter Bank

    55m <?php echo  $alt; ?>
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    L46-Zoom in and Zoom out using Wavelet Transform

    51m <?php echo  $alt; ?>
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    L47-More Thoughts on Wavelets : Zooming In

    54m <?php echo  $alt; ?>
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    L48-Towards selecting Wavelets through vanishing moments

    54m <?php echo  $alt; ?>
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    L49-In Search of Scaling Coefficients

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    L50-Wavelet Applications

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