| Course title | |||||
| 信号処理 [Signal Processing] | |||||
| Course category | technology speciality courses,ets. | Requirement | Credit | 2 | |
| Department | Year | 3～4 | Semester | Spring | |
| Course type | Spring | Course code | 023733 | ||
| 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. Digital Fourier transform (DFT) Foundations of DFT Fast Fourier transform (FFT) DFT and FFT for high dimensional signals 2. Auto and cross correlation functions Foundations of auto and cross correlation functions Applications; fast computation of spectral of a signal and convolution between a signal and system response 3. Digital filter Foundation of IIR and FIR filters. Design of IIR and FIR filters. Adaptive filter Auto regression 4. Other topics Neural networks (Deep learning) |
| 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% Attendance: 10-20% |
| Message from instructor(s) |
| Course keywords |
| Office hours |
| On appintment |
| Remarks 1 |
| Remarks 2 |
| Related URL |
| Lecture Language |
| Japanese |
| Language Subject |
| Last update |
| 3/30/2017 9:38:43 AM |