#Gspring22-DSA Notes and resources for the Digital Signal Analysis course at IIIT Hyderabad.

Course Contents

• Fourier Series and Transform
• Sampling and Quantisation
• Discrete Signals and Systems
• Z-Transform
• Digital Filter Design
• Applications

Lecture Contents

• Week 1
  • Lecture 1 (05 Jan, Wednesday)
    • Introduction
    • Fourier Series and Transform
      • Fourier Series
  • Lecture 2 (08 Jan, Saturday)
    • Fourier Series and Transform
      • Fourier Series (contd.)
      • Fourier Transform
        • Properties of FT
• Week 2
  • Lecture 3 (12 Jan, Wednesday)
    • Fourier Series and Transform
      • Fourier Transform
        • Properties of FT (contd.)
        • Discrete-Time Fourier Transform
        • Discrete Fourier Transform
• Week 3
  • Lecture 4 (19 Jan, Wednesday)
    • Classification of Signals
    • Discrete Signals
    • Systems
      • Classification of Systems
  • Lecture 5 (22 Jan, Saturday)
    • Systems (contd.)
      • LTI Systems
    • Sampling and Quantisation
      • Sampling
      • Quantisation
• Week 4
  • Lecture 6 (24 Jan, Monday)
    • Discrete Fourier Transform
  • Lecture 7 (29 Jan, Saturday)
    • Circular Convolution
    • Fast Fourier Transform
      • Motivation
• Week 5
  • Lecture 8 (05 Feb, Saturday)
    • Fast Fourier Transform (contd.)
      • Decimation in Frequency and Time
        • Decimation in Frequency (DIF)
        • Decimation in Time (DIT)
      • IDFT Using FFT
• Week 6
  • Lectures 9 & 10 (09 Feb, Wednesday)
    • Z-Transform
      • Examples
      • Properties
      • Inverse Z-Transform
      • Application
• Week 7
  • Lecture 11 (16 Feb, Wednesday)
    • Z-Transform (contd.)
      • LTI Systems
      • Causal and Stable Systems
      • Natural and Forced Responses
    • Filter Design
  • Lecture 12 (19 Feb, Saturday)
    • Speech Production