RC2017: Signals and Systems
Course Objective
Students completing this course will be able to understand the representation of various
types of signals including data representation and data processing. The course covers the
basic concept of signals and systems and the mathematical representation of signals and
systems for continuous-time and discrete-time systems, the analysis of signals in frequency
and complex frequency domains using the Fourier, Laplace, and Z-transforms. Students will
also learn how to analyze the linear feedback systems and convert signal from continuous-time
signals to discrete-time signals.
Course Syllabus
Introduction to signal and system. Continuous-time signals and systems: mathematical
representation of signals, frequency-domain representation of signals, time-domain
representation of systems, transform-domain representation of systems and continuous-time
system architecture. Discrete-time signals and systems: mathematical representation of
signals, frequency-domain representation of signals, time-domain representation of systems,
transform-domain representation of systems and discrete-time system architecture.
First order and higher order differential equations. Frequency response, Fourier analysis
and Laplace transforms.
Course Outcomes
Students graduating this course will be able to:
Demonstrate an understanding of the fundamental properties of linear systems.
Use linear systems tools, especially transform analysis and convolution, to
analyze and predict the behavior of linear systems.
Synthesize systems especially frequency selective filter when the specification of
input and output is given by using the suitable transforms.
Core text
Lathi, B. P., “Signal Processing and Linear Systems”, Berkeley-Cambridge Press, 1998
Watcharapong Khovidhungij, “Signals, Systems, and Control”, Chulalongkorn University Press, 2016
Grading Policy:
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