Advanced Digital Signal Processing

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ADVANCED DIGITAL SIGNAL 3710501
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Code: 3710501 Credits: 4 Semester 1 EAC(

Advanced Digital Signal Processing

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

Advanced Digital Signal Processing Syllabus — Unit-wise Content

The official GTU curriculum for Advanced Digital Signal Processing (subject code 3710501) as prescribed for EAC( · Semester 1 divides the course into 6 units, covering 44 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 (3710501)

Unit 1 Overview of DSP

9 lecture hours

  • Characterization in time and frequency Digital filter design and structures: Basic
  • lattice FIR/IIR filter structures
  • Frequency sampling structures of FIR systems
  • lattice-ladder structures
  • parallel realization of IIR systems. design techniques of FIR filters
  • Design of IIR filters from analog filters by approximations of derivatives
  • impulse invariance
  • bilinear transformation methods

Unit 2 RandomSignals

6 lecture hours

  • Random Processes- Stationary Random processes
  • discrete time random signals
  • Linear Systems with Stationary Random Inputs
  • Whitening and Innovations Representation
  • Special types of Random Processes: AR, MA, ARMA processes
  • Yule-Walker equations

Unit 3 Linear prediction & optimum linear filters

10 lecture hours

  • Linear prediction: Forward and Backward linear prediction
  • solution of normal equations
  • Properties of the Linear Prediction error filters
  • AR Lattice and ARMA Lattice-Ladder Filters
  • Wiener Filters for Filtering and Prediction-FIR and IIR Wiener filter
  • Noncausal IIR filter
  • Kalman Filter

Unit 4 Adaptive Filters

10 lecture hours

  • Introduction to Adaptive System
  • Adaptive Linear Combiner
  • Properties of Quadratic Performance Surface
  • Searching the Performance Surface
  • Gradient Estimation and its Effect on Adaptation
  • Method of Steepest Descent
  • LMS Algorithm
  • RLS Algorithms
  • Applications of adaptive filters : System Modelling
  • Channel equalization
  • Echo Cancellation
  • Narrowband interference
  • Adaptive Array

Unit 5 Multi rate DSP

8 lecture hours

  • Decimators and Interpolators
  • Sampling rate conversion
  • multistage decimator & interpolator
  • poly phase filters
  • CIC filters, QMF, digital filter banks
  • Applications in subband coding

Unit 6 Application of DSP & Multi rate DSP

5 lecture hours

  • Application to Radar
  • Introduction to wavelets
  • application to image processing
  • DSP in speech processing & other applications

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