Abstract
In this paper we introduce the application of multiscale framework in data fusion, describe several kinds of multiscale data fusion algorithms in detail. Multiscale smoothing algorithm is a static one. It is highly parallelizable and extremely efficient. Dynamic multiscale - data- fusion algorithm using wavelet transform includes temporal dynamics and it is an optimal distributed filtering algorithm. Multiscale recursive estimation algorithm is computationally efficient and suitable for large - scale dynamic systems.
| Original language | English |
|---|---|
| Pages (from-to) | 66-69 |
| Number of pages | 4 |
| Journal | Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics |
| Volume | 23 |
| Issue number | 6 |
| State | Published - Jun 2001 |
Keywords
- Algorithm
- Data processing
- Scale effect