Multirate DSP Course | IIT Madras NPTEL | Prof. R. David Koilpillai
Course Details
| Exam Registration | 79 |
|---|---|
| Course Status | Ongoing |
| Course Type | Elective |
| Language | English |
| Duration | 12 weeks |
| Categories | Electrical, Electronics and Communications Engineering, Communication and Signal Processing |
| Credit Points | 3 |
| Level | Undergraduate/Postgraduate |
| Start Date | 19 Jan 2026 |
| End Date | 10 Apr 2026 |
| Enrollment Ends | 02 Feb 2026 |
| Exam Registration Ends | 20 Feb 2026 |
| Exam Date | 19 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Unlock the Power of Signal Processing: A Deep Dive into Multirate DSP
In the digital age, where everything from your smartphone to satellite communication relies on efficient data handling, mastering Digital Signal Processing (DSP) is crucial. At the heart of modern DSP lies a powerful concept: Multirate DSP. This technique, which involves processing signals at multiple sampling rates, is the engine behind clearer audio, sharper images, and faster wireless data. If you're looking to build a career at the forefront of technology, a solid understanding of Multirate DSP is non-negotiable.
Your Guide to Mastery: Learn from an Industry Pioneer
This comprehensive 12-week course is taught by Prof. R. David Koilpillai, a distinguished authority in the field. As the Qualcomm Institute Chair Professor and Dean (Planning) at IIT Madras, Prof. Koilpillai bridges the gap between groundbreaking academic research and real-world industrial application.
His impressive career includes pivotal roles at Ericsson and GE Corporate R&D, where his innovations led to over 60 international patents and the prestigious "Ericsson Inventor of the Year" award. His expertise in cellular evolution (4G/5G), wireless systems, and optical communications ensures that the course content is not just theoretical but directly relevant to current industry challenges. Learning from an instructor of this caliber provides unparalleled insight into the practical applications of Multirate DSP.
Who Should Take This Course?
This course is meticulously designed for a diverse audience aiming to solidify their DSP foundation and specialize in advanced concepts.
- Students: B.E./B.Tech, M.E./M.Tech, and Ph.D. students who have completed a basic DSP course and are planning projects or research in signal processing, communications, or related fields.
- Professionals & Practitioners: Engineers and developers working in industries like telecommunications, audio/video processing, biomedical instrumentation, and consumer electronics who want to deepen their technical expertise.
- Aspiring Researchers: Individuals looking to understand the mathematical frameworks that underpin modern communication standards like 4G/5G and OFDM.
What You Will Learn: Course Curriculum Breakdown
The 12-week journey is structured to take you from fundamental principles to advanced applications, ensuring a complete understanding.
| Week | Core Topics Covered |
|---|---|
| Weeks 1-2 | Introduction, review of sampling, reconstruction, and oversampling techniques. |
| Weeks 3-5 | Fundamentals of Multirate Systems: Up/down sampling, polyphase decomposition, Noble Identities, and efficient implementation. |
| Weeks 6-8 | Core Applications: Filterbank design, Transmultiplexers, Two-channel filter banks, and achieving Perfect Reconstruction. |
| Weeks 9-10 | Wireless Communications Focus: Channel capacity, Multicarrier modulation, Zero-Padding, Cyclic Prefix, and in-depth study of OFDM and FBMC. |
| Weeks 11-12 | Advanced topics like Delta-Sigma A/D conversion and an introduction to Wavelets and M-channel filter banks. |
The course uniquely combines rigorous mathematical theory with MATLAB-based computer exercises, allowing you to simulate and visualize complex multirate concepts, cementing your learning through practical experimentation.
Essential Resources and Industry Recognition
To support your learning, the course references seminal textbooks in the field, including Oppenheim & Schafer's Discrete-Time Signal Processing and P. P. Vaidyanathan's definitive Multirate Systems and Filter Banks.
The curriculum is designed with strong industry support, making it highly relevant for careers in top tech companies. The concepts taught are directly applicable in roles at:
- Semiconductor & Hardware: Texas Instruments, Intel, Qualcomm, Broadcom, Samsung.
- Telecommunications: Motorola, Ericsson, Sasken.
- Design & Software: Ittiam, Redpine Signals, Jasmine Infotech.
Prerequisites and How to Get Started
To succeed in this advanced course, you should have completed a basic course in Digital Signal Processing. A foundational understanding of linear systems, convolution, Fourier transforms, and digital filter design is assumed. You can refresh these concepts through the NPTEL DSP course listed as a prerequisite.
Ready to transform your understanding of how modern digital systems work? This Multirate DSP course offers a rare opportunity to learn advanced, industry-critical concepts from a world-class instructor at IIT Madras. Whether you're a student aiming for cutting-edge projects, a professional seeking to upskill, or a researcher pushing technological boundaries, this knowledge is your key to unlocking the next generation of digital innovation. Enroll today and start building the expertise that powers the connected world.
Enroll Now →