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
[edit]- ↑ Shockley, K.; Butwill, M.; Zbilut, J.; Webber, C. (2002). "Cross recurrence quantification of coupled oscillators". Physics Letters A. 305 (1–2): 59–69. Bibcode:2002PhLA..305...59S. doi:10.1016/S0375-9601(02)01411-1.
- ↑ 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. PMID 25164935.
- 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 (1–2): 122–128. Bibcode:1998PhLA..246..122Z. doi:10.1016/S0375-9601(98)00457-5.
 | This signal processing–related article is a stub. You can help Wikipedia by adding missing information. |