Parallel distributed scheme for stochastic coding of self-similar patterns

A parallel distributed scheme is presented for coding random patterns generated via iteration of contraction mappings. The scheme is implemented by a decentralized computational process on a distributed parameter system. The distributed parameter system generates a representation of missing probability for attractor as the basis of design of contraction mappings. The local minimals of missing probability is extracted and aggregated as the decentralized representation of contraction mappings. The coding scheme is verified through computer simulation.