Signal & Systems

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SIGNAL & SYSTEMS 3141005
FREE PDF 3141005
Code: 3141005 Credits: 4 Semester 4 ECE

Signal & Systems

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

Signal & Systems Syllabus — Unit-wise Content

The official GTU curriculum for Signal & Systems (subject code 3141005) as prescribed for ECE · Semester 4 divides the course into 5 units, covering 30 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 (3141005)

Unit 1 Introduction to Signals & Systems

10 lecture hours

  • Basic definitions of signals and systems
  • Basic elementary signals
  • Classification of signals and systems
  • Signal operations and properties
  • Basic continuous time signals
  • Basic system properties
  • Case study of different signals 4

Unit 2 Behaviour of Continuous time (CT)& Discrete Time(DT) Linear Time

12 lecture hours

  • Invariant (LTI) System: Impulse response characterization and convolution for CT- LTI and DT-LTI systems
  • Properties of LTI systems
  • LTI systems characterized by Differential and difference equations

Unit 3 Introduction to Fourier Series, Fourier Transform

12 lecture hours

  • Fourier Series Representation of periodic Signals
  • Fourier series
  • Waveform Symmetries
  • Calculation of Fourier Coefficients
  • Frequency spectrum of aperiodic signals
  • Fourier Transform
  • Relation between Laplace Transform and Fourier Transform
  • Properties of Continuous Time Fourier transform
  • System Analysis using Fourier Transform
  • Introduction to DTFT and DFT

Unit 4 Z Transform

12 lecture hours

  • The z-Transform
  • Convergence of z-Transform
  • Properties of z-Transform
  • Inverse z-Transform
  • LTI System analysis from Linear Constant Coefficient Difference Equations using z-Transform

Unit 5 Sampling & Reconstruction

5 lecture hours

  • Representation of digital signals
  • The Sampling Theorem
  • Sampling with a zero order hold
  • Reconstruction of a signal from its samples using interpolation
  • Aliasing and its effects

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