Discrete-Time Signals and Systems (EE 312)

2021 Spring
Faculty of Engineering and Natural Sciences
Electronics Engineering(EE)
3
6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Hüseyin Özkan hozkan@sabanciuniv.edu,
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English
Undergraduate
ENS211
Formal lecture,Recitation,Laboratory
Interactive,Communicative,Project based learning,Simulation
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CONTENT

Review of linear discrete-time systems and sampled and discrete-time signals; Fourier analysis, discrete and fast Fourier transforms; interpolation and decimation; design of infinite-impulse response and finite impulse response filters. introduction to real time processing using Digital Signal Processors (DSP) chips.

OBJECTIVE

To provide students fundamentals of signal processing in discrete-time and enable them to develop the background for graduate level studies such as adaptive filtering. To provide students knowledge of algorithm design, implementation and analysis through comprehensive experiments/simulations in MATLAB during laboratory sessions.

LEARNING OUTCOME

At the end of the course, the student is expected to have the ability to construct mathematical models of real life problems and use appropriate methods/software to implement.
At the end of the course, the student is expected to have learned sampling, and also expected to have the ability to understand and analyze the effect of sampling in the signal level as well as the system level in both time domain and frequency domain.
At the end of the course, the student is expected to have the ability to understand and analyze the discrete-time signals and systems in both time domain and frequency domain.
At the end of the course, the student is expected to have the ability to understand and analyze the discrete-time signals and systems in frequency domain through Discrete Fourier Transform (as an example of finite length discrete transforms).
At the end of the course, the student is expected to have achieved a deeper understanding and the ability of conducting a deeper analysis of discrete-time signals and systems through z-transform
At the end of the course, the student is expected to have the ability to recognize and analyze FIR and IIR filters, and to have achieved a solid understanding of their advantages and disadvantages.
At the end of the course, the student is expected to have learned the fundamentals of IIR (infinite impulse response) filter design and to use Matlab to design IIR filters.
At the end of the course, the student is expected to have learned the fundamentals of FIR (finite impulse response) filter design and to use Matlab to design FIR filters.

ASSESSMENT METHODS and CRITERIA

  Percentage (%)
Final 25
Midterm 40
Exam 10
Assignment 10
Group Project 15

RECOMENDED or REQUIRED READINGS

Textbook

1) (required) Digital Signal Processing, A computer based approach 4th edition, Sanjit K. Mitra, McGraw Hill, 2006, 007-124467-0
2) (reference) Discrete-time Signal Processing, Alan V. Oppenheim, Ronald W. Schaefer, John R. Buck, Prentice Hall, 1999, 0-13-754920-2