Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The Digital Signal Processing certification course delves into discrete-time signals and systems. The course is tailored for ECE/EEE undergraduates with a prerequisite in Networks and Systems. Topics include z-transform, frequency response, sampling, and the Discrete Fourier Transform, equipping students with fundamental skills in signal processing.
With the Digital Signal Processing certification by NPTEL, students gain a comprehensive understanding of discrete-time signal fundamentals. They are prepared to apply these concepts in real-world scenarios within the realm of Electrical Engineering, setting a strong foundation for further academic pursuits or professional endeavors.
The Highlights
- Core Online Course
- 12 Weeks Duration
- Offered by IIT Madras
Programme Offerings
- Certificate of completion
- Practical Learning
- Hands-on Experience
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIT Madras (IITM) |
Eligibility Criteria
Academic Qualifications
The Digital Signal Processing certification course is intended for undergraduate students studying Electrical and Electronics Engineering, with the prerequisite of having prior knowledge in Networks and Systems.
Certification Qualifying Details
To receive the Digital Signal Processing certification by NPTEL, you need a minimum average assignment score of 10/25 and an exam score of 30/75.
What you will learn
After completing the Digital Signal Processing certification syllabus, you will gain a thorough understanding of fundamental concepts spanning from discrete-time sequences to the Discrete Fourier Transform (DFT). You will learn to manipulate discrete-time sequences, comprehend the intricacies of the z-transform, and analyse the frequency response of discrete-time systems.
Upon completion of the Digital Signal Processing training, you will explore topics such as sampling theory and the properties of LTI systems. You will also develop the ability to apply these theoretical concepts to real-world scenarios in Electrical Engineering.
Who it is for
The Digital Signal Processing online course is suitable for undergraduate students majoring in Electrical and Electronics Engineering (ECE/EEE). This course can also be beneficial for:
Admission Details
Follow these steps to join the Digital Signal Processing classes:
Step 1: Browse the URL below:
https://swayam.gov.in/NPTEL
Step 2: Click on the “Sign-in/ Register” button
Step 3: Log in using a Google account-enabled email address
Step 4: Select your preferred course. Review the course details and fill out the required fields
Step 5: Click on the "Join" button
The Syllabus
Introduction to discrete-time sequences, operations on the independent variable, elementary signals: unit step
Elementary signals: Dirac delta, exponentials, similarities and differences between CT and DT sinusoids
Introduction to systems and their properties, LTI systems, convolution
Definition of the z-transform, region of convergence, simple examples, DTFT as a special case of the z-transform
Properties of the z-transform
Inverse z-transform
Sequences having DTFT but no z-transform
Response to suddenly applied inputs, response to A cos(I_0 n+I).
Frequency Response of LTI systems with rational transfer function, magnitude response
Phase Response
Sampling
Discrete Fourier Transform
Evaluation process
The Digital Signal Processing certification offers an optional exam. Your final score is determined by averaging the best 8 out of 12 assignments (25%) and your proctored exam score (75%).
IIT Madras (IITM) Frequently Asked Questions (FAQ's)
The course spans 12 weeks, starting and ending within the academic semester, with an exam scheduled towards the end of the course.
The course is led by Professor C. S. Ramalingam from the Department of Electrical Engineering at IIT Madras, who holds a PhD in Electrical Engineering and specialises in signal processing.
Students are required to have prior knowledge of Networks and Systems before taking this course.
The course covers fundamental concepts in discrete-time signals and systems, including discrete-time sequences, z-transform, frequency response, sampling, and the Discrete Fourier Transform (DFT).
This course is primarily intended for undergraduate students majoring in Electrical and Electronics Engineering (ECE/EEE) who wish to deepen their understanding of signal processing concepts.