Journal of Control Engineering and Applied Informatics
A Method of Distributed Data Fusion Based on Orthogonal Wavelets
Abstract
Within the last decade, acquiring distributed signals from the same source and then
aggregating them into a single signal has captured the interest of many scientists. The first goal of
this communication is to introduce and provide a succinct description of VISA - a versatile
interface of signal acquisition. Moreover, signals are spatially distributed. The interface is
intended to become the kernel of a mobile system allowing the user to perform monitoring of some
phenomena. As a second goal, the problem of information compaction by data fusion is also
approached within the paper. Wavelets seemingly are suitable tools for extraction of common
features from various signals and to compact them into a fused signal. Therefore, a method of data
fusion based on orthogonal (Daubechies) wavelets, iterative deepening approach (from Artificial
Intelligence) and some statistical criteria is briefly described as well.
aggregating them into a single signal has captured the interest of many scientists. The first goal of
this communication is to introduce and provide a succinct description of VISA - a versatile
interface of signal acquisition. Moreover, signals are spatially distributed. The interface is
intended to become the kernel of a mobile system allowing the user to perform monitoring of some
phenomena. As a second goal, the problem of information compaction by data fusion is also
approached within the paper. Wavelets seemingly are suitable tools for extraction of common
features from various signals and to compact them into a fused signal. Therefore, a method of data
fusion based on orthogonal (Daubechies) wavelets, iterative deepening approach (from Artificial
Intelligence) and some statistical criteria is briefly described as well.