- Place
- Tue3-4(G221)
- Credits
- Lecture2 Exercise0 Experiment0
- Code
- 88021
- Syllabus updated
- 2011/3/23
- Lecture notes updated
- 2011/3/23
- 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
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 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.菫｡蜿ｷ縺ｮ髮｢謨｣譎る俣陦ｨ迴ｾ / Discrete-time representation of signals
02.髮｢謨｣譎る俣繝輔ｼ繝ｪ繧ｨ螟画鋤 / Discrete-time Fourier transform
03.z螟画鋤 / z-transfom
04.髮｢謨｣繝輔ｼ繝ｪ繧ｨ螟画鋤 / Discrete Fourier transform (DFT)
05.鬮倬溘ヵ繝ｼ繝ｪ繧ｨ螟画鋤 / Fast Fourier transform (FFT) algorithms
06.繧｢繝翫Ο繧ｰ繧ｷ繧ｹ繝繝縺ｨ繝繧ｸ繧ｿ繝ｫ繧ｷ繧ｹ繝繝 / Analog and digital systems
07.FIR繝繧｣繧ｸ繧ｿ繝ｫ繝輔ぅ繝ｫ繧ｿ / FIR digital filters
08.IIR繝繧｣繧ｸ繧ｿ繝ｫ繝輔ぅ繝ｫ繧ｿ / IIR digital filters
09.2谺｡蜈菫｡蜿ｷ縺ｨ2谺｡蜈繝輔ｼ繝ｪ繧ｨ螟画鋤 / Two-dimensional signals and two-dimensional Fourier transform
10.2谺｡蜈讓呎悽蛹門ｮ夂炊 / Two-dimensional sampling theorem
11.2谺｡蜈邱壼ｽ｢繧ｷ繧ｹ繝繝 / Two-dimensional linear systems
12.逕ｻ蜒丞ｦ逅縺ｸ縺ｮ蠢懃畑 / Application to image processing
Textbook and reference
隰帷ｾｩ雉譁吶ｒ驟榊ｸ縺吶ｋ
Lecture notes will be handed out in class.
Related and/or prerequisite courses
隍邏髢｢謨ｰ隲悶→繝輔ｼ繝ｪ繧ｨ隗｣譫舌ｮ蝓ｺ遉守衍隴倥ｒ謖√▲縺ｦ縺繧九％縺ｨ縺梧悍縺ｾ縺励＞
It is assumed that the student is familiar with complex variables and Fourier theory.
Evaluation
貍皮ｿ抵ｼ御ｸｭ髢楢ｩｦ鬨難ｼ梧悄譛ｫ隧ｦ鬨薙ｮ邨先棡縺ｧ隧穂ｾ｡縺吶ｋ
Assignments, midterm and final examinations.
