FPGA Signal Processing Course | Verilog, DSP, Filters, FFT | IIT Roorkee
Course Details
| Exam Registration | 1083 |
|---|---|
| Course Status | Ongoing |
| Course Type | Elective |
| Language | English |
| Duration | 12 weeks |
| Categories | Electrical, Electronics and Communications Engineering, VLSI design |
| Credit Points | 3 |
| Level | Postgraduate |
| Start Date | 19 Jan 2026 |
| End Date | 10 Apr 2026 |
| Enrollment Ends | 02 Feb 2026 |
| Exam Registration Ends | 20 Feb 2026 |
| Exam Date | 17 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Unlock the Power of Real-Time Signal Processing with FPGAs
In the rapidly evolving fields of telecommunications, embedded systems, and advanced instrumentation, the demand for high-speed, customizable, and efficient signal processing has never been greater. Field-Programmable Gate Arrays (FPGAs) stand at the forefront of this revolution, offering unparalleled flexibility and performance. A new, in-depth course titled FPGA Based Signal Processing Systems, offered by the prestigious Indian Institute of Technology Roorkee, is designed to equip postgraduate students and professionals with the critical skills needed to harness this technology.
Course Instructor: Expertise You Can Trust
Leading this comprehensive 12-week journey is Prof. P. Sumathi from the Department of Electrical Engineering at IIT Roorkee. With a distinguished academic career spanning over 20 years and a Ph.D. from IIT Madras, Prof. Sumathi brings immense expertise to the table. Her teaching portfolio includes digital signal processing, digital electronic systems, and FPGA implementations. Her research interests in sensors, signal/image processing, AI, and control systems ensure the course content is both foundational and cutting-edge. As a senior member of IEEE, her guidance aligns with the highest industry and academic standards.
Who Should Enroll?
This course is meticulously crafted for:
- Final-year Undergraduate (UG) students in Electrical, Electronics, and Instrumentation.
- Postgraduate (PG) students specializing in related fields.
- PhD researchers looking to implement DSP algorithms in hardware.
- Professionals aiming to upskill in FPGA design for signal processing.
Prerequisites: A basic understanding of Digital Circuits and Signal Processing is recommended to fully benefit from the course material.
What Will You Learn? Course Layout Overview
The course is structured to take you from fundamental concepts to advanced implementations. Here’s a week-by-week breakdown:
| Week | Topics Covered |
|---|---|
| 1-2 | Introduction to FPGA technology & Verilog HDL basics, synthesis, and testbenches. |
| 3-4 | Modelling combinational and sequential logic (flip-flops, counters, registers). |
| 5-7 | Finite State Machines (FSM), memory, timing control, and synthesis for FPGA targets. |
| 8 | Arithmetic basics: Number representations, MAC, CORDIC algorithms. |
| 9-10 | Implementation of Digital Filters: FIR and IIR Filters on FPGA. |
| 11-12 | Advanced DSP: FFT, SDFT, DCT, General DSP networks, and Adaptive Filters. |
Industry Relevance and Support
The skills imparted in this course are in high demand across the global tech industry. The curriculum is supported by and highly relevant to leading semiconductor and design companies, including:
- Qualcomm
- Texas Instruments
- Intel Corporation
Mastering FPGA-based DSP implementation opens doors to roles in VLSI design, wireless communication, audio/video processing, and IoT device development.
Essential Learning Resources
The course draws from authoritative texts to provide a robust theoretical foundation alongside practical know-how. Key references include:
- Zvi Kohavi & Niraj K. Jha, “Switching and Finite Automata Theory”
- Roger Woods et al., “FPGA-based Implementation of Signal Processing Systems”
- Uwe Meyer-Baese, “Digital Signal Processing with Field Programmable Gate Arrays”
- Samir Palnitkar, “Verilog HDL: A Guide to Digital Design and Synthesis”
Why Choose This FPGA Signal Processing Course?
This course is more than just a series of lectures. It is a structured pathway to proficiency in designing and implementing real-world signal processing systems on reconfigurable hardware. You will gain hands-on experience with industry-standard tools from Xilinx and Altera, learn to write synthesizable Verilog code, and implement core DSP algorithms from the ground up. Whether you aim to advance in academia or excel in the industry, this course provides the critical knowledge and skills to design the high-performance systems of tomorrow.
Take the next step in your engineering career. Dive deep into the world of FPGA-based signal processing with expert guidance from IIT Roorkee.
Enroll Now →