I’m adding another answer since it strikes me that Steven’s is not quite correct and Horchler’s suggestion to look inside function awgn is a good one. Either MATLAB or Octave (in the communications toolbox) have a function awgn that adds (white Gaussian) noise to attain a desired signal-to-noise power level; the following is the relevant … Read more
TL;DR, see the code and picture at the bottom. I think a Kalman filter could work quite well in your application, but it will require a little more thinking about the dynamics/physics of the kite. I would strongly recommend reading this webpage. I have no connection to, or knowledge of the author, but I spent … Read more
As I mentioned in the comment diamond and square is much easier with good enough results. So the algorithm: configure generation properties Here you need to have set of parameters like min,max elevation, sea level, elevation ranges for vegetation, sand/rock/dirt, etc, slope parameters etc. create terrain height map I call it zed[][] For this you … Read more
For very simple pseudorandom-looking stuff, I use this oneliner that I found on the internet somewhere: float rand(vec2 co){ return fract(sin(dot(co, vec2(12.9898, 78.233))) * 43758.5453); } You can also generate a noise texture using whatever PRNG you like, then upload this in the normal fashion and sample the values in your shader; I can dig … Read more