Nested Pattern Detection and Unidimensional Process Characterization

Nested Pattern Detection and Unidimensional Process Characterization

Blog Article

This document introduces methods for describing long texts as groups of repeating symbols or patterns.The process markbroyard.com converts a series of real-number values into texts.Developed tailored algorithms for identifying repeated sequences in the text are 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 in oscillatory but non-periodic and chaotic moen finney 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.