stepDetection

timed_boolean TPT.stepDetection(timed_float expr, int order, float scale)

Step detection analyzes the time dependent float expression expr(t) in order to find significant steps in the signal. This function works also for noisy signals.

The step detection uses the "double sigma method". A step in a signal is detected when two consecutive samples of the signal have a minimum difference to a moving average of the signal that is larger than scale times the standard deviation of the moving average with order order.

Parameters:

expr Time dependent float expression that shall be analyzed

order Order of the moving average filter

scale Scales the standard deviation sigma

Returns:

Signal indicating whether step has been detected.

Examples:

   # step detection in the acceleration pedal value
   # the moving average must be exceeded with at minimum 1.7 * Sigma
   # the moving average uses the 50 last time steps
   x = TPT.BooleanX();
   x(t) := TPT.stepDetection(accleleration_pedal(t), 50, 1.7);