Abstract
A more general algorithm for determining unbiased reconstructions is presented. Variegated states from subsystems may be employed in the reconstruction. Only independent states need be employed, and a procedure to generate independent states is provided. The new methodology allows an unbiased reconstruction from limited variegated information or from a minimal information base. The theory presented directly and readily impacts many fundamental disciplines (e.g. communication theory, pattern recognition, etc).

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