Nested Pattern Detection and Unidimensional Process Characterization

Nested Pattern Detection and Unidimensional Process Characterization

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This document introduces methods for describing long texts as groups of repeating symbols or patterns.The process converts a series of real-number values into texts.Developed tailored algorithms for identifying repeated sequences in the text are 2000 dodge dakota catalytic converter applied to decompose the text into nested tree-like structures of repeating symbols and is called the Nested Repeated Sequence Decomposition Model (NRSDM).The NRSDM is especially valuable for extracting repetitive behaviors la tierra de acre mezcal in oscillatory but non-periodic and chaotic processes where the classical Fourier transform has limited application.

The NRSDM along with the two graphical representations proposed here form a promising tool for characterizing long texts configured to represent the behavior of unidimensional processes.