Originally Posted by Antiarc
There's an option for the TPS update speed in there, as well as the sample window (larger window = smoother numbers); however, my TPS algorithm is pretty shoddy, and I'm working with Kalman to come up with a better one.
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There are some know alrorithms that u could use:
- First you could use several windows information an take the average which would have an efect of having a larger window
- You take serveral windows with weight. For example you have two windows one from the last 0.5secs and one from 1 sec ago, you want to give the last one priority then it would be someting like
1*WindowOne+2*WindowTwo)/(1+2). This gives a higher priority to the most recent information
- ActualTps =(1-A)*LastTps+A*ThisWindowTps were A is between 1 and 0. For example take A=0.5 and in the first period you a WindowTps=30, your ActualTps=30 because u dont have more info. In the second perioriod you have a Tps=100, then: ActualTps= 0.5*30+0.5*100=65. In the third period you have WindowTps=100 again, then ActualTps= 0.5*65+0.5*100= 82.5
Etc. The closer A to 1 the more weight new information has.