Nonlinear and nonstationary signal processing
Most currently employed methods that are used in various fields of data analysis, such as signal processing and time series analysis, are based on rather simplistic assumptions about the linearity and stationarity of the underlying processes, and are hence suboptimal in many situations. The chapters...
保存先:
| フォーマット: | 図書 |
|---|---|
| 言語: | Undetermined |
| 出版事項: |
Cambridge,New York
Cambridge University Press
2000
|
| 主題: | |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Cần Thơ |
|---|
| 要約: | Most currently employed methods that are used in various fields of data analysis, such as signal processing and time series analysis, are based on rather simplistic assumptions about the linearity and stationarity of the underlying processes, and are hence suboptimal in many situations. The chapters in this book introduce modern methods that have been developed in many fields of statistics, engineering, environmental science or finance, to address these shortcomings. The authors present state-of-the-art statistical methods, and discuss their applications in real-world situations. The chapters, taken together, provide a coherent and unique account of this active and important area, that will appeal to graduate students and researchers in academia, industry and laboratories. |
|---|