Course title | |||||
Digital Signal Processing [Digital Signal Processing] | |||||
Course category | Requirement | Credit | 3 | ||
Department | Year | 1~4 | Semester | 3rd | |
Course type | 3rd | Course code | 028875 | ||
Instructor(s) | |||||
清水 昭伸, 田中 雄一 [SHIMIZU Akinobu, TANAKA Yuichi] | |||||
Facility affiliation | Faculty of Engineering | Office | afjgxte/L1151 | Email address |
Course description |
This lecture focuses on basic technologies for signal processing and its applications |
Expected Learning |
1. Able to understand Fourier transform. 2. Able to understand correlation analysis 3. Able to understand the z-transform 4. Able to understand filter properties and design techniques |
Course schedule |
1: Discrete Fourier transform 2: Fast Fourier transform 3: High dimensional Fourier transform 4: Auto-correlation analysis 5: Cross-correlation analysis 6: The z-transform 7: Properties of digital filters 8: FIR and IIR filter design 9: Multirate DSP systems 10: Applications of DSP |
Prerequisites |
Linear algebra, Mathematical statistics, Calculus |
Required Text(s) and Materials |
Handouts and materials given on or before the lectures |
References |
Assessment/Grading |
20% Participation to lecture 80% homework and short reports. |
Message from instructor(s) |
Course keywords |
Office hours |
after class or by appointment |
Remarks 1 |
Remarks 2 |
Related URL |
Lecture Language |
English |
Language Subject |
English |
Last update |
10/19/2021 1:51:49 PM |