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Biologically inspired informatics; algorithm for discrete data and signal processing

Authors have developed an algorithm to compress logical dataset for storage and transmission purposes [1]. This paper extends the algorithm to work with discrete data sets. This algorithm could provide an economical way for handling a correlated or highly correlated discrete or quantized analog data set or signal. The mean of this algorithm is a special binary tree structure, inspired by developmental biology, the way, how a multicellular organism develops from a single cell. This observed natural process is an inverse transformation so on this base is possible to prepare a corresponding wavelet transformation method.