Course Contents
Continuous time and discrete time signals
Periodic signals, even and odd signals, exponential and sinusoidal signals, the unit impulse and
unit step functions
Continues time and discrete time systems
Linear time invariant (LTI) systems, difference equation, causality, BIBO stability, convolution
and correlation
Discrete time Fourier transforms, time and frequency characterization of signals and systems
Analysis and design of continuous time systems using Laplace transforms.
The sampling theorem, aliasing, sampling the discrete time signals
Course Synopsis
1. To explain signals and systems representations/classifications and also describe the time and
frequency domain analysis of continuous time signals with Fourier series, Fourier transforms
and Laplace transforms.
2. To present the concepts of convolution and correlation integrals and also understand the
properties in the context of signals/systems and lay down the foundation for advanced
courses.
3. To understand Sampling theorem, with time and frequency domain analysis of discrete time
signals with DTFS, DTFT and Z-Transform.
Course Learning Outcomes
1. Express the concepts of signals and systems and their different types which can be used in a wide
variety of disciplines in engineering and study properties such as causality, stability, linearity, and
time invariance etc.
2. Use linear systems tools, especially transform analysis and convolution, to analyze and predict the
behavior of linear systems.
3. Analyze continuous and discrete time signals and systems in the time/frequency-domain using
Fourier, Laplace and z-transforms.
4. Concepts of sampling, sampling theorem and modulation and Gain an appreciation for the
importance of linear systems analysis in communication systems.
Signals and systems material
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SnS01
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SnS02
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Book Title : Signals and Systems
Author : V. Oppenheim, A. S. Willsky and S. H. Nawab
Edition : 2nd Edition, 1996
Publisher : Prentice Hall,
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Title : SIGNALS AND SYSTEMS CDF
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Title : Mids course
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