| Course title | |||||
| 信号処理特論 [Advanced Topics in Signal Processing] | |||||
| Course category | courses for master's programs | Requirement | Credit | 2 | |
| Department | Year | ～ | Semester | 1st | |
| Course type | 1st | Course code | 1060504 | ||
| Instructor(s) | |||||
| 田中 聡久 [TANAKA Toshihisa] | |||||
| Facility affiliation | Faculty of Engineering | Office | Email address | ||
| Course description |
| Advanced topics in signal processing are lectured. |
| Expected Learning |
| To acquire ability to contribute to the class by making questions and comments. |
| Course schedule |
|
1 Signal Processing and Modern Technology 2 Sampling 3 Wiener filter and least squares 4 Projection Theorem and Best Approximation 5 Regularization and Bayesian Estimation 6 Parameter estimation by EM algorithm 7 Adaptive filter (1) 8 Adaptive filter (2) 9 Eigenvalue problem 10 Generalized Eigenvalue Problem and its Applications 11 Independent Component Analysis 12 Kernel method 13 EEG Measurement and Signal Processing 14 Brain-Computer Interface |
| Prerequisites |
| Circuit theory, signal processing, basic math are desirable subjects, but not prerequisite. |
| Required Text(s) and Materials |
| Original documents. |
| References |
| Assessment/Grading |
| Report |
| Message from instructor(s) |
| I hope students will obtain substantial and concrete understanding of how the already-studied-theory are contributing to the real products. |
| Course keywords |
| Office hours |
| Remarks 1 |
| Remarks 2 |
| Related URL |
| Lecture Language |
| Language Subject |
| Last update |
| 4/4/2022 9:36:22 AM |