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iahmed.me | ||
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www.telesens.co
[LatexPage] In the previous post, we laid some of the mathematical foundation behind the kalman filter. In this post, we'll look at our first concrete example - performing sensor fusion between a gyro and an accelerometer. Real world MEMS Gyros and accels have typically two major error sources - bias drift and random noise. There |
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austinmorlan.com
It took me longer than necessary to understand how a rotation transform matrix rotates a vector through three-dimensional space. Not because it's a difficult concept but because it is often poorly explained in textbooks. Even the most explanatory book might derive the matrix for a rotation around one axis (e.g., x) but then present the other two matrices without showing their derivation. I'll explain my own understanding of their derivation in hopes that it will enlighten others that didn't catch on right away. |
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liorsinai.github.io
Introduction to quaternions and rotations in 3D. |
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www.oranlooney.com
R, like many scientific programming languages, has first-class support for complex numbers. And, just as in most other programming languages, this functionality is ignored by the vast majority of users. Yet complex numbers can often offer surprisingly elegant formulations and solutions to problems. I want to convince you that familiarizing yourself with R's excellent complex number functionality is well worth the effort and will pay off in two different ways: first by showing you how they are so amazingly useful you'll want to go out of your way to use them, and then by showing you how they are so common and fundamental to modern analysis that you couldn't avoid them if you wanted to. |
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