2017 Fiscal Year Final Research Report
Flexible multidimensional signal processing using signal structure by sparse dictionary learning
| Project/Area Number |
26730130
|
|---|
| Research Category |
Grant-in-Aid for Young Scientists (B)
|
| Allocation Type | Multi-year Fund |
|---|
| Research Field |
Soft computing
|
|---|
| Research Institution | National Institute of Advanced Industrial Science and Technology |
|---|
Principal Investigator |
Kanemura Atsunori 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 研究員 (50580297)
|
|---|
| Project Period (FY) |
2014-04-01 – 2018-03-31
|
| Keywords | 辞書学習 / スパース性 |
|---|
| Outline of Final Research Achievements |
We have proposed many signal processing methods that take into account the nature of domain problems and the characteristics of domain signals. Our main achievements include dictionary learning that introduced individual- and session-wise linear transformation for EEG signals, bases extraction from human mobility traces, bases extraction from response patterns of human skill tests, and sparse dictionary learning of time series and it skip representations.
|
| Free Research Field |
統計的信号処理
|
