Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
564475 | Signal Processing | 2010 | 5 Pages |
Abstract
We propose a simple index, termed adaptive signed correlation index (ASCI), to quantify the morphological similarity between signals. The ASCI between two signals is calculated by trichotomizing each signal based on predefined three signal subspaces, then calculating the signed correlation of the trichotomized vectors. Examples are shown to compare ASCI with conventional correlation coefficients with respect to the effects of signal perturbation and additive noise. The ASCI provides a robust and efficient measure of morphological similarity and has particular applications in embedded systems involving biological signal analysis.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Jie Lian, Garth Garner, Dirk Muessig, Volker Lang,