From 48887b68b04f0d6e1f502397f97cd372dc3d6273 Mon Sep 17 00:00:00 2001 From: holukas Date: Mon, 9 Nov 2020 11:38:28 +0100 Subject: [PATCH] Added logo.png --- README.md | 4 +++- figure.png | Bin 0 -> 166715 bytes logo.png | Bin 26081 -> 13752 bytes 3 files changed, 3 insertions(+), 1 deletion(-) create mode 100644 figure.png diff --git a/README.md b/README.md index 865df31..0d432b4 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,6 @@ -# About +![Normalization example](logo.png) + +# DYCO - Dynamic Lag Compensation `DYCO` facilitates the detection of time lags between two time series using covariance maximization. The time delay for each averaging interval is estimated by incrementally shifting one signal (the *reference signal*) and repeatedly calculating the time-lagged cross-covariance between both variables. The time lag that produces the highest covariance is selected as the *reference lag*, which can then be applied to selected *target* *variables*. The full processing chain comprises several phases and iterations during which *reference lags* are refined iteratively in progressively smaller search windows. The lag search is facilitated by prior normalization of default (nominal) time lags across files. This is achieved by compensating data for daily default lags, calculated from high-quality *reference lags* available around the respective date (Figure 1). Due to this normalization, *reference lags* fall into a specific, pre-defined and therefore known time range, which in turn allows the application of increasingly narrow time windows during lag search. diff --git a/figure.png b/figure.png new file mode 100644 index 0000000000000000000000000000000000000000..a190ab7a0c7d240e994c179c1cfe3d38f3f421e1 GIT binary patch literal 166715 zcmce;cUV(v_bnRGSb~TmiU?cfP&%`JHp0``6`pEQGM~uD8rN<``qHAoYh2Xb~3>Fc^$hQ9(`< z20LyIgTa-K9RaVr>#*?!{~UI@r>K1le0d&w5(vJha?*To4_465G6((8Qbtt<1}h4s z*)@ZM?~mIn7&yUTjHjVLRL$4cq`-@}o$u>AYuQ;iyP7$oU}!UEds{naTkFT{E+|JQ zYdg#hej)xF*V(O{o$bX01pfXxzn!C{fGGij?(uFt+6*ahFr(AZb{XHQT^i!-t~={`XArJUGX)b1nl zaM@bMKi})yd<#3TZDjWHY<0H%ufa!y>2RN#zj7)Z!y@fs z(H>XH&db_BA11|OB>mIglj`Ny6*$Am21fPUET;c_LC@OEhpJNfZix56o~un?P9!tk z8+N`YY4S6o*WtDf#YZj#m>=gl5yF>bf4kQA%g^7`h*y&|Tr431|9m00^kbdx$h134 z*XX5xjgaA#jN!jtP?tVzeRfDk4~YWPLSr(Qbdy~x-z^QuJx z$+kW2j!AZJZ|DM(Wtl1 zV?^wKNaJo=hu^a4Z-sl+Y|rPqtam*i7E~?HOVa)GbEM5qr|Dc>n`tY#5_-4Wq9Xx~ 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