Abstract: A data processing system (100) of the present invention analyses input data (10) for statistical similarities in time and determines processing steps depending on the analysis. The system (100) transfers a first data set (12) which changes at every time transition (i-1) to i into a second data set (13) to output sets (22 and 23) by a transfer function H. According to a method of the present invention, the number of calculation instructions h(n) which are performed is established by comparing consecutive old input data (12) and new input data (13). The transfer function H is thereby simplified and the number of executed instructions optimized.