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Diploma Level

Signals and Systems

Code EE2101
Credits 4 Credits
Type Diploma
Prerequisites
Core Competencies

What You'll Learn

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  • At the end of this course, the student should be able to: 1. Understand and apply the concepts about linear time-invariant (LTI) systems

  • understand and apply Fourier Series representation of periodic continuous-time signals

  • understand and apply Fourier Transform representation of periodic and aperiodic continuous-time signals. 4. Apply Laplace transforms to analyze LTI Systems

12-Week Roadmap

Course Structure & Syllabus

For details of standard term assessment timelines and exam structures, visit our Academics page.

WEEK 1
Introduction to signals --- continuous-time, discrete-time, Analog, Digital, Signal representation and analysis, Manipulation of signals (Time shifting and scaling)
WEEK 2
Adding and subtracting signals, complex-valued signals, phasors
WEEK 3
Even and Odd symmetry, Orthogonal signals, even-odd signals, conjugate symmetry, periodicity, manipulation of periodic signals, Energy and Power of signals
WEEK 4
Dirac delta signal, energy signal, power signal, time scaling of energy and power signals
Reading List

Prescribed Books & References

  • Signals and Systems: Oppenheim, Willsky and Nawab (2nd Edn).
  • Principles of Linear Systems and Signals: B.P. Lathi (2nd Edn)
Faculty & Experts

About the Instructors

Prof. Lakshmi Narasimhan Theagarajan

Prof. Lakshmi Narasimhan Theagarajan

Professor , Department Of Electrical Engineering , IIT Madras

Lakshmi Narasimhan is an Assistant Professor at the Department of Electrical Engineering, IIT Madras. He obtained his PhD from the Indian Institute of Science, Bangalore in 2016. He was a postdoctoral fellow at Syracuse University, New York, and a Fulbright research scholar at MIT, Boston. He has also worked in Cisco Systems R&D and National Instruments R&D. His research areas include statistical learning, inference, and physical layer design for high-dimensional wireless communications.