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Introduction to Digital Signal Processin g

Semester: August - December, 2024

The course information document is here: Course Information

Course TAs (Aug 2024)

Ritwika C Diwakar

   Ritwika C         Diwakar BR    

Lecture Slides

Here are the up-to-date lecture slides

  1. Introduction
  2. Mathematical Preliminaries
  3. Introduction to Python Programming`
  4. What are Signals?
  5. Geometric Signal Theory
  6. Sampling Theorem
  7. What are Systems?
  8. Linear Time-Invariant Systems
  9. Fourier Representation of Continuous-Time Signals
  10. Fourier Representation of Discrete-Time Signals
  11. Sampling Theorem Revisited
  12. Z-Transform
  13. Frequency Domain Analysis of LTI Systems
  14. Discrete Fourier Transform
  15. Frequency Selective Filters
  16. Introduction to Spectral Analysis
  17. Short-Time Fourier Transform
  18. Introduction to Wavelet Transforms
  19. Outro

Lecture Videos

Here are the links to the lecture videos. You are required to view selected lecture before each week's in-class session. The details of the lecture videos to watch each week is in the course information document.

  1. Introduction
  2. Mathematical Preliminaries [01]
  3. Introduction to Python Programming [01] [02] [03]
  4. What are Signals? [01] [02]
  5. Geometric Signal Theory
  6. Sampling Theorem
  7. What are Systems?
  8. Linear Time-Invariant Systems [01] [02]
  9. Fourier Representation of Continuous/Discrete-Time Signals [01] [02] [03]
  10. Sampling Theorem Revisited
  11. Z-Transform [01] [02]
  12. Frequency Domain Analysis of LTI Systems [01]
  13. Discrete Fourier Transform [01] [02] [03]
  14. Frequency Selective Filters [01]
  15. Introduction to Spectral Analysis
  16. Short-Time Fourier Transform
  17. Introduction to Wavelet Transforms
  18. Outro

Additional Discussion videos

Course Notes

None

Assignments

Module-wise assignments are listed below. The due date is mentioned in the last column.

Sl. No Topic Problems Due Date
1 Math Preliminaries Math Preliminaries 30 Sep 2024
2 Python Programming Python Programming 30 Sep 2024
3 Signals Signals 30 Sep 2024
4 Systems Systems 30 Sep 2024
5 Programming Programming 1 15 Oct 2024
6 LTI Systems LTI Systems 31 Oct 2024
7 Fourier Representation Fourier Representation 31 Oct 2024
8 Z Transform Z Transform 30 Nov 2024
9 DFT DFT 30 Nov 2024
10 Frequency Selective Filters Frequency Selective Filters 30 Nov 2024
12 Spectral Analysis Spectral Analysis 15 Dec 2024
12 STFT and Wavelets STFT and Wavelets 15 Dec 2024

Tutorials

Module-wise tutorials are listed below. These will be discussed during the weekly in-person lecture.

Sl. No Topic Problems
1 Python Programming Python Programming
2 Signals Signals

Exam Dates

Mid-Semester Exam: 22 October 2024, 7:30 - 8:30 AM

Final Exam: 23 December 2024, 7:30 - 10:30 AM

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