The time master of the master clock and the time slave of the slave clock are added to the list of observations. If enough observations are available, a linear regression algorithm is run on the observations and clock is recalibrated.

If this functions returns TRUE, r_squared will contain the correlation coefficient of the interpolation. A value of 1.0 means a perfect regression was performed. This value can be used to control the sampling frequency of the master and slave clocks.

class Clock


slave GstClockTime

a time on the slave

master GstClockTime

a time on the master

rSquared double

a pointer to hold the result

Return Value

Type: bool

TRUE if enough observations were added to run the regression algorithm.

MT safe.