Signal Processing Course: Techniques, Applications & Syllabus | IIT Kharagpur
Course Details
| Exam Registration | 757 |
|---|---|
| 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 | 25 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Mastering the Digital World: An In-Depth Guide to Signal Processing Techniques and Applications
In our increasingly digital age, the ability to analyze, manipulate, and interpret signals is a cornerstone of modern technology. From the clarity of a phone call to the precision of a medical MRI, Digital Signal Processing (DSP) is the invisible engine powering innovation. This comprehensive guide explores a detailed academic course designed to unravel the complexities of DSP, led by an expert from one of India's premier institutions.
About the Course: Unlocking the Power of Digital Signals
Digital Signal Processing (DSP) is the discipline concerned with the representation, transformation, and manipulation of signals using computers. Over the past fifty years, DSP has evolved from a niche field into a critical technology that permeates our daily lives. Its applications are vast and growing, driving advancements in consumer electronics, telecommunications, medical imaging, audio processing, and beyond.
With the relentless increase in the processing power of microprocessors, the importance and reach of DSP are set to expand even further. This course provides a structured pathway to understand the fundamental principles that make this possible.
Course Instructor: Expertise from IIT Kharagpur
The course is instructed by Prof. Shyamal Kumar Das Mandal of the Indian Institute of Technology (IIT) Kharagpur. With a strong academic foundation—holding a B.E. in Electronics and Telecommunication Engineering (1998) and a Ph.D. (2007) from Jadavpur University—Prof. Das Mandal brings both depth and practical insight to the subject.
His current research focuses on cutting-edge areas like automatic speech recognition, speech synthesis, and computer-assisted spoken language acquisition, ensuring the course content is informed by the latest advancements in the field.
Who Should Take This Course?
This course is meticulously designed for:
- Undergraduate and Postgraduate students in Electronics & Communication Engineering, Electrical Engineering, and Computer Science & Engineering.
- Professionals and industry practitioners working in domains such as image processing, speech processing, telecommunications, and embedded systems.
- Anyone seeking a strong, foundational understanding of DSP theory and its practical implementations.
Detailed 12-Week Course Layout
The course is structured over 12 weeks, progressively building from core concepts to advanced applications.
| Week | Topic |
|---|---|
| Week 1 & 2 | Concept of Frequency in Continuous-time and Discrete-time Signals |
| Week 3 | Discrete Time Systems |
| Week 4 | Linear Time-Invariant (LTI) Systems |
| Week 5 | Recursive and Non-recursive Discrete Time Systems and Applications |
| Week 6 | Realization of Linear Time-Invariant Systems |
| Week 7 | Discrete Time Fourier Transform (DTFT) |
| Week 8 | Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT) |
| Week 9 | Short Time Fourier Transform (STFT) and Its Application |
| Week 10 | Use of FFT in Linear Filtering & Correlation; Discrete Cosine Transform (DCT) & Applications |
| Week 11 | Introduction to Digital Filter Design (FIR and IIR) |
| Week 12 | Homomorphic Signal Processing and Multirate Digital Signal Processing |
Essential Reference Books
To supplement the course material, the following authoritative texts are recommended:
- Proakis & Manolakis: "Digital Signal Processing: Principles, Algorithms and Applications" (Prentice-Hall, 2007) – A classic, comprehensive textbook.
- Oppenheim, Schafer & Buck: "Discrete-Time Signal Processing" (Prentice Hall) – Renowned for its clear and rigorous treatment of theory.
- Gillian M. Davis (Editor): "Noise Reduction in Speech Applications" (CRC Press) – A specialized text focusing on practical speech processing challenges.
Real-World Applications of Signal Processing
The techniques covered in this course are not merely theoretical. They form the backbone of technologies we use every day:
- Speech & Audio Processing: Noise cancellation in headphones, voice assistants (like Siri/Alexa), and audio compression (MP3).
- Communications: Enabling 4G/5G mobile networks, DSL internet, and satellite communications.
- Image & Video Processing: Medical imaging (CT, MRI scans), facial recognition, and digital camera enhancements.
- Consumer Electronics: Smartphone sensors, audio/video codecs, and radar systems in automobiles.
Conclusion: Your Pathway to DSP Expertise
This 12-week course on Signal Processing Techniques and Its Applications offers a unique opportunity to build a robust understanding of DSP from the ground up. Guided by an IIT Kharagpur expert with active research in speech technology, the curriculum bridges fundamental theory with contemporary applications. Whether you are a student aiming to solidify your academic knowledge or a professional seeking to apply DSP in your work, mastering these concepts is an invaluable investment in your technical future. The digital world runs on signals—learn how to process them.
Enroll Now →