사업 진행 현황
  교수 강의록
  교수 업적
  교과목 개요

Digital Signal Processing
  1.Introduction
2. Discrete-Time Signals and System
3. The z Transform
4. Input/Output Relationships
5. Discrete-Time Networks
6. Sampling Continuous-Time Signals
7. Discrete Fourier Transform
8. IIR Filter Design by Transformation
9. FIR Filter Design Techniques
10. Filter Design by Modeling
11. Quantization Effects
12. Digital Filter Implementation
13. Filter and Systems Examples

Robot Vision
  1. Introduction.
2. Image Formation & Image Sensing.
3. Binary Images: Geometrical Properties.
4. Binary Images: Topological Properties.
5. Region & Image Segmentation.
6. Image Processing: Continuous Image.
7. Image Processing: Discrete Image.
8. Edge & Edge Finding.
9. Lightness & Color.
10. Reflectance Map: Photometric Stereo.
11. Reflectance Map: Shape from Shading.
12. Motion Field & Optical Flow.
13. Photogrammetry & Stereo.
14. Pattern Classification.
15. Polyhedral Objects.
16. Extended Gaussian Images.
17. Passive Navigation & Structure from Motion.
18. Picking Parts out of a Bin
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