Abstract
The paper makes an attempt to introduce a new approach for detection of local singularities in signals, including one-dimensional time series and two-dimensional images. Inspired by a mode of antigen processing in the immune system, our approach is based on the rigorous mathematical methods of Discrete Tree Transform (DTT) and Singular Value Decomposition (SVD). The approach has successfully been applied to detect local singularities in human electrocardiogram (ECG), as well as to enhance the detection of bound complexes of human immunoglobulin in biochip-like bio-membranes.
This work was supported by the European Commission under the EU project IST-2000-26016 Immunocomputing
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Atreas, N.D., Karanikas, C.G., Tarakanov, A.O. (2003). Signal Processing by an Immune Type Tree Transform. In: Timmis, J., Bentley, P.J., Hart, E. (eds) Artificial Immune Systems. ICARIS 2003. Lecture Notes in Computer Science, vol 2787. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45192-1_11
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DOI: https://doi.org/10.1007/978-3-540-45192-1_11
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