Real-Time Digital Signal Processing

By Prof. Rathna G N   |   IISc Bangalore
Learners enrolled: 1985
The course helps in understanding of theory, design, applications, and implementations using hands-on experiments for the effective learning of real-time DSP technologies.

PRE-REQUISITES: BE/B.Tech/MSc with basic knowledge of signal processing

INTENDED AUDIENCE: Engineering Students/Teachers

Course Status : Completed
Course Type : Elective
Duration : 12 weeks
Category :
  • Electrical, Electronics and Communications Engineering
Credit Points : 3
Level : Undergraduate/Postgraduate
Start Date : 25 Jul 2022
End Date : 14 Oct 2022
Enrollment Ends : 08 Aug 2022
Exam Date : 29 Oct 2022 IST

Note: This exam date is subjected to change based on seat availability. You can check final exam date on your hall ticket.

Page Visits

Course layout

Week 1: Introduction to Real-Time Signal Processing, Analog Interface, DSP hardware, DSP System Design, Experiments and program examples.
Week 2: signal concepts, Introduction to random variables, Fixed point and Quantization effects, overflow and solutions, experiments and program examples.
Week 3: Design and Implementation of FIR filters
Week 4: Design and Implementation of IIR filters and structures: cascaded for implementation in hardware and quantization effects.
Week 5: Frequency analysis and DFT with practical applications of FFT, Spectrum Analysis, and implementation in filters, quantization effects.
Week 6: Cross correlation, autocorrelation and implementation
Week 7: Introduction to Random Process, LMS algorithm and implementation consideration and practical applications applications.
Week 8: Digital Signal generation and program examples
Week 9: Implementation of Echo, reverberation, Graphic equalizer.
Week 10: Implementation of Echo, reverberation, Graphic equalizer.
Week 11: Introduction to Digital Image processing, fast DCT implementation in hardware.
Week 12: Introduction to Digital Image processing, fast DCT implementation in hardware.

Books and references

  1. Real-Time Digital Signal Processing
  3. Sen M. Kuo Northern Illinois University, USA Bob H. Lee Ittiam Systems, Inc., USA Wenshun Tian Sonus Networks, Inc., USA

Instructor bio

Prof. Rathna G N

IISc Bangalore
Prof. Rathna G N is Principal Research Scientist at EE, IISc. She is teaching DSP System Design and Real-Time Signal processing along with Wireless Sensor Networks and Real-Time Systems.

Course certificate

The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
Date and Time of Exams: 29 October 2022 Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
Registration url: Announcements will be made when the registration form is open for registrations.
The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.


Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IISc Bangalore. It will be e-verifiable at nptel.ac.in/noc.

Only the e-certificate will be made available. Hard copies will not be dispatched.

Once again, thanks for your interest in our online courses and certification. Happy learning.

- NPTEL team

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