Cross-recurrence quantification
Cross-recurrence quantification (CRQ) is a non-linear method that quantifies how similarly two observed data series unfold over time.[1] CRQ produces measures reflecting coordination, such as how often two data series have similar values or reflect similar system states (called percentage recurrence, or %REC), among other measures.[2]
References
- ^
Shockley, K.; Butwill, M.; Zbilut, J.; Webber, C. (2002). "Cross recurrence quantification of coupled oscillators". Physics Letters A. 305: 59–69. doi:10.1016/S0375-9601(02)01411-1.
{{cite journal}}: Unknown parameter|issues=ignored (help) - ^ Shockley, K.; Richardson, D.C.; Dale, R. (2009). "Conversation and coordinative structures". Topics in Cognitive Science. 1 (2): 305–319. doi:10.1111/j.1756-8765.2009.01021.x.
- Zbilut, J.P.; Giuliani, A.; Webber, C.L. Jr (1998). "Detecting deterministic signals in exceptionally noisy environments using cross-recurrence quantification". Physics Letters A. 246: 122–128. doi:10.1016/S0375-9601(98)00457-5.
{{cite journal}}: Unknown parameter|issues=ignored (help)
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