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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[1] 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)

[2] 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.

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