Skip to main content
Search type Search syntax
Tags [tag]
Exact "words here"
Author user:1234
user:me (yours)
Score score:3 (3+)
score:0 (none)
Answers answers:3 (3+)
answers:0 (none)
isaccepted:yes
hasaccepted:no
inquestion:1234
Views views:250
Code code:"if (foo != bar)"
Sections title:apples
body:"apples oranges"
URL url:"*.example.com"
Saves in:saves
Status closed:yes
duplicate:no
migrated:no
wiki:no
Types is:question
is:answer
Exclude -[tag]
-apples
For more details on advanced search visit our help page
Results tagged with
Search options answers only not deleted user 80
5 votes
Accepted

Situations where complexity is too big to exceed linearity and gaussianity

The Kalman filter is all about tracking means and variances of variables in the system. …
Peter K.'s user avatar
  • 26k
1 vote

What's the best way of modeling 3d target motion with only 2d angle observations?

So, let's see how to start this. Let's make the states the 3D location and the 3D velocities: $$ \mathbf{x}_k = \left [ x_k\ \dot{x}_k\ y_k\ \dot{y}_k\ z_k\ \dot{z}_k \right ]^T $$ Then, following t …
Peter K.'s user avatar
  • 26k
3 votes
Accepted

What does "kernel based" mean?

In general, a kernel is a function that acts as a parameter to some algorithm. Filtering: For example, it's possible to call the impulse response of a filter $h[n]$ a kernel, so that it is the parame …
Peter K.'s user avatar
  • 26k
6 votes

Kalman Filter for estimating position with nonconstant velocity & acceleration

So this is just the start of an answer. I'll have to keep updating it as I go. The first attempt is to say that the quantities you are interested in are the location of the center of the four LEDs, a …
Peter K.'s user avatar
  • 26k