【Aim】 |
This course provides basic knowledge on digital
signal processing for understanding and analyzing information systems. Topics
include discrete-time signals and systems, sampling theorem, the z-transform,
discrete-time Fourier transform (DFT), fast Fourier transform (FFT) algorithms,
digital filters, and multi-dimensional signal processing. |
【Schedule】 |
- Discrete-time representation of signals
- Fourier transform
- z-transfom
- Discrete Fourier transform (DFT)
- Fast Fourier transform (FFT) algorithms
- Analog and digital systems
- FIR digital filters
- IIR digital filters
- Two-dimensional signals and two-dimensional Fourier transform
- Two-dimensional sampling theorem
- Two-dimensional linear systems
- Application to image processing
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【Texts, etc】 |
Lecture notes will be handed out in class.
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【Prerequisite】 |
It is assumed that the student is familiar
with complex variables and Fourier theory. |
【How to Grade】 |
Homework, midterm and final examinations.
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【Message form the Lecturer】 |
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