Introduction of multiscale data fusion algorithm

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.