Discrete Time Signal Processing Course | IIT Kharagpur | Prof. Chakraborty
Course Details
| Exam Registration | 162 |
|---|---|
| Course Status | Ongoing |
| Course Type | Core |
| Language | English |
| Duration | 8 weeks |
| Categories | Electrical, Electronics and Communications Engineering, Communication and Signal Processing |
| Credit Points | 2 |
| Level | Undergraduate |
| Start Date | 19 Jan 2026 |
| End Date | 13 Mar 2026 |
| Enrollment Ends | 02 Feb 2026 |
| Exam Registration Ends | 16 Feb 2026 |
| Exam Date | 29 Mar 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Master the Foundations of Modern Technology: A Guided Course in Discrete Time Signal Processing
In the digital age, the ability to process and interpret signals is fundamental. From your smartphone's voice assistant to medical imaging and global communication networks, Discrete Time Signal Processing (DSP) is the invisible engine powering innovation. Yet, a solid grasp of its core principles is often the differentiator between a competent engineer and a true innovator.
We are excited to present a unique opportunity to strengthen your foundational knowledge: an intensive 8-week course titled "Discrete Time Signal Processing", meticulously designed and delivered by a distinguished expert from the Indian Institute of Technology (IIT) Kharagpur.
Your Instructor: Learn from an Authority in the Field
This course is led by Prof. Mrityunjoy Chakraborty, a professor in the Department of Electronics and Electrical Communication Engineering at IIT Kharagpur. With a stellar academic background (B.E. from Jadavpur University, M.Tech from IIT Kanpur, Ph.D. from IIT Delhi) and decades of teaching and research experience since joining IIT Kharagpur in 1994, Prof. Chakraborty brings unparalleled depth to the subject.
His expertise spans Digital and Adaptive Signal Processing, VLSI Signal Processing, Linear Algebra, and Compressive Sensing. A Fellow of the National Academy of Sciences, India (NASI) and the Indian National Academy of Engineering (INAE), his leadership extends to key editorial roles, including the IEEE Signal Processing Magazine. Learning DSP from an instructor of this caliber ensures you receive insights that go far beyond standard textbooks.
Course Philosophy: "DSP Revisited" to Bridge the Gap
This course is specifically designed as "DSP Revisited." Prof. Chakraborty identifies a common challenge: while DSP is a standard part of undergraduate engineering curricula, the fundamental concepts are often not conveyed with sufficient clarity, leaving significant gaps in understanding.
The primary purpose of this course is to provide a guided tour of DSP's key principles, with every effort made to reinforce the basics. You will encounter new interpretations and aspects rarely covered in conventional books, enabling a deeper, more intuitive grasp of the material. Whether you're looking to solidify shaky foundations or gain advanced perspectives, this course is structured to deliver exceptional value.
Who Should Enroll?
- Undergraduate (UG) Students: A core course to build an unshakable foundation.
- Postgraduate (PG) Students & Professionals: An excellent refresher to clarify concepts and gain new insights.
- Academic & Industrial Professionals: Professionals in fields like communications, audio/speech processing, and instrumentation will find immediate practical relevance.
Industry Support: This course is highly relevant for industries working in communications, speech and audio processing, instrumentation, and any field involving digital signal analysis.
Detailed 8-Week Course Layout
| Week | Topics Covered |
|---|---|
| Week 1 | Discrete Time Signals and Systems |
| Week 2 | DTFT, Relation between DTFT and Analog Fourier Transform |
| Week 3 | Rational Systems, Z-transform and Pole-Zero Models |
| Week 4 | IIR Filter Design |
| Week 5 | FIR Filter Design, Filter Structures |
| Week 6 | Basics of Multirate Signal Processing |
| Week 7 | Discrete Fourier Transform, Circular Convolution |
| Week 8 | Fast Fourier Transform |
Recommended Textbooks for Deep Dive
To complement the lectures, Prof. Chakraborty recommends these authoritative texts, allowing you to explore topics in further detail:
- "Digital Signal Processing" by A. Oppenheim and R. Schafer
- "Discrete Time Signal Processing" by A. Oppenheim and R. Schafer
- "Digital Signal Processing" by J. G. Proakis and D. G. Manolakis
- "Digital Signal Processing" by S. K. Mitra
Why This Course is a Must for Aspiring Engineers
This isn't just another online course. It's a chance to rebuild or fortify your understanding of DSP from the ground up under the guidance of an IIT professor who is a recognized global leader in the field. The structured 8-week journey from basic signals to advanced algorithms like the FFT ensures a comprehensive learning experience. By the end, you will not only understand the 'how' but also the 'why' behind critical DSP techniques, empowering you to tackle complex real-world problems in your academic and professional career.
Take the next step in mastering the language of modern digital systems. Enroll in this Discrete Time Signal Processing course today and transform your understanding of one of engineering's most vital disciplines.
Enroll Now →