Digital Signal Processing

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DIGITAL SIGNAL PROCESSING 3171003
FREE PDF 3171003
Code: 3171003 Credits: 4 Semester 7 Robotics

Digital Signal Processing

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

Digital Signal Processing Syllabus — Unit-wise Content

The official GTU curriculum for Digital Signal Processing (subject code 3171003) as prescribed for Robotics · Semester 7 divides the course into 4 units, covering 28 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 (3171003)

Unit 1 Discrete-Time Signals and Systems

7 lecture hours

  • Discrete-Time Signals
  • Discrete-Time Systems
  • LTI Systems
  • linear convolution and its properties
  • Linear Constant Co- efficient Difference equations
  • Frequency domain representation of Discrete-Time Signals & Systems
  • Representation of sequences by discrete time Fourier Transform
  • correlation of signals

Unit 2 The Z- Transform and Analysis Linear Time-of Invariant System

10 lecture hours

  • Properties of ROC for Z-transform
  • the inverse Z-transform methods
  • Z- transforms properties
  • Analysis of LTI systems in time domain and stability considerations
  • Frequency response of LTI system
  • System functions for systems with linear constant-coefficient Difference equations
  • Freq. response of rational system functions relationship between magnitude & phase
  • All pass systems
  • inverse systems
  • Minimum/Maximum phase systems
  • systems with linear phase

Unit 3 Structures for Discrete Time Systems

7 lecture hours

  • Block Diagram and signal flow diagram representations of Linear Constant- Coefficient Difference equations
  • Basic Structures of IIR Systems
  • Transposed forms
  • Direct and cascade form Structures for FIR Systems
  • Effects of Co-efficient quantization

Unit 4 Filter Design Techniques

  • Design of Discrete-Time IIR filters from Continuous-Time filters Approximation by derivatives
  • Impulse invariance and Bilinear Transformation methods
  • Design of FIR filters by windowing techniques
  • Illustrative design examples of IIR and filters. 7 Subject Code: 3171003 w.e.f

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