| Course title | |||||
| 信号処理 [Signal Processing] | |||||
| Course category | technology speciality courses,ets. | Requirement | Credit | 2 | |
| Department | Year | 3～4 | Semester | 1st | |
| Course type | 1st | Course code | 023714 | ||
| Instructor(s) | |||||
| 清水 昭伸 [SHIMIZU Akinobu] | |||||
| Facility affiliation | Faculty of Engineering | Office | Email address | ||
| Course description |
| This class aims to study fundamentals of digital signal processing. Topics includes Fourier transform, auto and cross correlation functions, digital filters and their applications. |
| Expected Learning |
| Students are expected to understand a concept of digital signal processing and solve small-scale problems of above topics. |
| Course schedule |
|
1.Foundations of Digital Fourier transform (DFT) 2.Fast Fourier transform (FFT) 3.DFT and FFT for high dimensional signals 4.Foundations of auto correlation functions 5.Relationship between auto correlation function and spectral 6.Foundations of cross correlation functions 7.Relationship between cross correlation function and spectral 8.Intermediate examination 9.Window functions 10. System response 11. Finite Impulse Response filter 12. Infinite Impulse Response filter 13. Adaptive filter and linear prediction model 14. Deep learning 15. Final examination |
| Prerequisites |
| Elemental maths (calculus and linear algebra) |
| Required Text(s) and Materials |
| References |
| Kobatake and Kan; CAI digital signal processing |
| Assessment/Grading |
|
Mid-term exam: 40-45% End-of-term exam: 40-45% Contribution to course: 10-20% |
| Message from instructor(s) |
| Course keywords |
| Office hours |
| On appointment |
| Remarks 1 |
| Remarks 2 |
| Related URL |
| Lecture Language |
| Japanese |
| Language Subject |
| Last update |
| 1/22/2020 2:20:24 PM |