Efficient Compression of Distributed Information in Estimation Fusion

The numerical algorithms for distributed information processing are developed. The underlying idea is a reduction of the original information processing task to a special rank-constrained matrix approximation problem. Its solution is derived. The error analysis and a comparison with the existing approach are provided.