be assumed that its temperature has stabilized a time interval between the measurement points can be but need not necessarily be constant after normalizing the measured pressure values with respect to the temperature of the medium in the tire the measured pressure curve can be interpolated for this purpose an interpolation algorithm for example the least squares method least squares estimation can be used this interpolation method may be suitable for placing a line through the measured values 17 a to 17 h and estimating an evolution of the pressure in the tire in the exemplary embodiment of fig2 the curve 19 thus results as an example the measured pressure values can be processed or interpreted as follows measured pressure values can be for example p1 t1 p2 t2 pn tn the values for p0 and p1 can be derived using the following equation f p 0 p 1 p 1 u2212 p 0 t 1 p 1 2 p 2 u2212 p 0 t 2 p 1 2 pn u2212 p 0 tn p 1 2 calculating the derivatives u03b4f u03b4p0 u03b4f u03b4p1 and equating the two derivatives with zero results in a system with two equations which can be solved for p0 and p1 p1 is the slope of the pressure curve or the line 10 these parameters can optionally be compared to a limit value pls and if p1 gt pls this indicates the likely presence of a slow leak fig3 schematically depicts a method for detecting a pressure change in a tire this method includes receiving a first temperature 30 and receiving a second temperature signal 32 that includes.