Correlation over Decomposed Signals: A Non-Linear Approach to Fast and Effective Sequences Comparison
Luciano da Fontoura Costa
TL;DR
This paper introduces a new non-linear method for rapid and effective sequence comparison, outperforming traditional cross-correlation, with applications demonstrated on DNA sequences.
Contribution
It proposes a novel non-linear approach for sequence comparison that improves speed and effectiveness over existing methods.
Findings
Outperforms traditional cross-correlation in sequence comparison
Effective for DNA sequence analysis
Demonstrates faster computation times
Abstract
A novel non-linear approach to fast and effective comparison of sequences is presented, compared to the traditional cross-correlation operator, and illustrated with respect to DNA sequences.
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Taxonomy
TopicsFractal and DNA sequence analysis · Machine Learning in Bioinformatics · Blind Source Separation Techniques