- Place
- Tue3-4(G221)
- Credits
- Lecture2 Exercise0 Experiment0
- Code
- 88021
- Syllabus updated
- 2009/4/6
- Lecture notes updated
- 2009/3/30
- Semester
- Spring Semester
Outline of lecture
諠蝣ｱ蜃ｦ逅ｼ後Γ繝繧｣繧｢蜃ｦ逅ｼ檎判蜒丞ｦ逅縺ｪ縺ｩ縺ｮ蝓ｺ譛ｬ縺ｨ縺ｪ繧倶ｿ｡蜿ｷ縺ｮ繝繧｣繧ｸ繧ｿ繝ｫ蜃ｦ逅縺ｮ蝓ｺ遉弱ｒ鄙貞ｾ励☆繧九る屬謨｣譎る俣菫｡蜿ｷ縺ｨ繧ｷ繧ｹ繝繝ｼ後し繝ｳ繝励Μ繝ｳ繧ｰ螳夂炊ｼ碁屬謨｣逧繝輔ｼ繝ｪ繧ｨ螟画鋤ｼ後ョ繧｣繧ｸ繧ｿ繝ｫ繝輔ぅ繝ｫ繧ｿｼ鯉ｼ呈ｬ｡蜈繝輔ｼ繝ｪ繧ｨ螟画鋤ｼ悟､壽ｬ｡蜈菫｡蜿ｷ蜃ｦ逅縺ｪ縺ｩ繧貞叙繧翫≠縺偵ｋ縲
This course provides basic knowledge on digital signal processing. Digital signal processing plays an important role in analysis of various information systems. It is assumed that the student is familiar with complex variables and Fourier theory. Topics include discrete-time signals and systems, sampling theorem, z-transform, discrete-time Fourier transform (DFT), fast Fourier transform (FFT) algorithms, digital filters, and multi-dimensional signal processing.
Purpose of lecture
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.
Plan of lecture
01.Discrete-time representation of signals
02.Discrete-time Fourier transform
03.z-transfom
04.Discrete Fourier transform (DFT)
05.Fast Fourier transform (FFT) algorithms
06.Analog and digital systems
07.FIR digital filters
08.IIR digital filters
09.Two-dimensional signals and two-dimensional Fourier transform
10.Two-dimensional sampling theorem
11.Two-dimensional linear systems
12.Application to image processing
Textbook and reference
Lecture notes will be handed out in class.
Related and/or prerequisite courses
It is assumed that the student is familiar with complex variables and Fourier theory.
Evaluation
Assignments, midterm and final examinations.
