この商品を友人に教える:
Time-frequency Based Feature Extraction and Classification: Considering Energy Concentration As a Feature Using the Stockwell Transform and Related Approaches Ljubisa Stankovic
遠隔倉庫からの取り寄せ
クリスマスプレゼントは1月31日まで返品可能です
Time-frequency Based Feature Extraction and Classification: Considering Energy Concentration As a Feature Using the Stockwell Transform and Related Approaches
Ljubisa Stankovic
In many fields such as telecommunications, multimedia, medical technology, radar and sonar, man-machine communications, we utilize advanced signal processing techniques to extrapolate underlying information on specific problems for the purpose of decision making. Traditional signal processing approaches assume the stationarity of signals, which in practice is not often satisfied. Hence, time or frequency descriptions alone are insufficient to provide comprehensive information about such signals. On the contrary, time-frequency analysis is more suitable for non-stationary signals. Therefore, this book provides a status report of feature-based signal processing in the time-frequency domain through an overview of recent contributions. The feature considered here is energy concentration. The material covered in this book should help shed some light on this exciting topic, and should be especially useful to professionals in many fields dealing with the analysis of non-stationary signals.
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2009年12月21日 |
| ISBN13 | 9783639219609 |
| 出版社 | VDM Verlag Dr. Müller |
| ページ数 | 260 |
| 寸法 | 150 × 220 × 10 mm · 385 g |
| 言語 | 英語 |
Ljubisa Stankovicのすべてを見る ( 例: Paperback Book および Hardcover Book )