From c2bb98d730a34dec58c0cc0c7bad751efc6676d4 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Gerardo=20Dur=C3=A1n=20Mart=C3=ADn?= Date: Sat, 16 Mar 2024 16:06:24 +0000 Subject: [PATCH 1/3] feat: .gitignore Add .DS_Store --- .gitignore | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.gitignore b/.gitignore index edce96c..bed791d 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,5 @@ +.DS_Store + # Images *.pdf *.png From 19f9db134f9ef12d1de0425cfbfdf9b11e518d87 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Gerardo=20Dur=C3=A1n=20Mart=C3=ADn?= Date: Sat, 16 Mar 2024 16:06:34 +0000 Subject: [PATCH 2/3] feat: index.html --- docs/index.html | 19 +++++++++++-------- 1 file changed, 11 insertions(+), 8 deletions(-) diff --git a/docs/index.html b/docs/index.html index 8cef3f5..1463bdb 100644 --- a/docs/index.html +++ b/docs/index.html @@ -77,7 +77,7 @@

Outlier-robust Kalman Filtering through gener
- +
The dotted blue line shows the KF posterior mean estimate and the solid orange line shows the WoLF posterior mean estimate. @@ -167,7 +167,7 @@

Outlier-robust Kalman Filtering through gener

-Tresholded Mahalanobis-based weighting function (TMD) +Thresholded Mahalanobis-based weighting function (TMD) $$ W_{t}(\bm y_{1:t}) = \begin{cases} @@ -210,7 +210,7 @@

Outlier-robust Kalman Filtering through gener
    Remarks
  1. The Kalman filter is not outlier-robust.
  2. -
  3. The IMQ and TMD are outlier-robust.
  4. +
  5. Filters with IMQ and TMD weighting function are outlier-robust.
@@ -249,7 +249,7 @@

Outlier-robust Kalman Filtering through gener KF-B - \(O(I_{-\epsilon}\,p^3)\) + \(O(I\,p^3)\) 3 Wang2018 @@ -279,8 +279,9 @@

Outlier-robust Kalman Filtering through gener - Below, \(I\) is the number of inner iterations, \(I_{-\epsilon}\) is the number of inner iterations to reach a threshold \(\epsilon\), - \(p\) is the dimension of the state vector, and #HP is the number of hyperparameters. + Below, \(I\) is the number of inner iterations, + \(p\) is the dimension of the state vector, + and #HP is the number of hyperparameters. @@ -490,7 +491,9 @@

Data assimilation

@@ -498,4 +501,4 @@

Data assimilation

- + \ No newline at end of file From 1c832d027ad09577d7a82f6dee5016617f2815e3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Gerardo=20Dur=C3=A1n=20Mart=C3=ADn?= Date: Sat, 16 Mar 2024 17:12:11 +0000 Subject: [PATCH 3/3] fix: docs/index.html fix typo --- docs/index.html | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/index.html b/docs/index.html index 1463bdb..7a4f1e8 100644 --- a/docs/index.html +++ b/docs/index.html @@ -154,7 +154,7 @@

Outlier-robust Kalman Filtering through gener
  1. The inverse multi-quadratic (IMQ) — a compensation-based weighting function, and -
  2. The tresholded Mahalanobis distance (TMD) — +
  3. The thresholded Mahalanobis distance (TMD) — a detect-and-reject weighting function.