Before asking a question, I have no background knowledge of engineering. So I have no idea about these issues like control or signal engineering. (Also, I'm not good at using English. sorry for that.)
I attached the picture related to my question below. It is time series data and I want to find the black circled points.
1) these data follows Gaussian distribution.
2) The most important thing in this question is that I can't know future data at specific time point. I know only past data at specific time point. I want to recognize black circled points around local max/min points or right after local max/min points.
3) There is no model with these data. e.g. There is no equations like relations of velocity, acceleration and positions. Only these data are the only measurements.
I've got some recommendations to use Kalman filter things, and It helps to make these lines differentiable. Now I'm studying Kalman filter but It seems I do need kinds of model.
Is it possible or useful to use Kalman filter? or, do I have to another methods to filter these data?