Abstract: A method for adaptively generating a series of random numbers of a 1/f noise is based on the use of normally distributed random numbers. The method enables a need-oriented generation of random numbers of the 1/f noise, whereby additional random numbers of the 1/f noise are also possible during a simulation calculation.

Abstract: A method and arrangement for the design of a technical system measured data of a given system are described on the basis of an equivalent model. In a dimensional coefficient for the quality of the equivalent model is thereby determined in that the measured data of the system are compared to data defined by the equivalent model. The equivalent model is adapted on the basis of the dimensional coefficient in view of an optimally high quality. The dimensional coefficient is improved on the basis of additional measured data, and the adapted equivalent model is utilized for the design of the technical system.

Abstract: The electrical signal contains signal information and redundancy information for the signal information determined from the signal information. A dependability degree is approximated from the electrical signal for forming at least one signal value, and the signal value is determined dependent on the dependency degree. This ensues in that a target function that contains a model of a transmission channel is optimized, and the optimization ensues upon employment of the target function.

Abstract: A computer programmed to process a method for generating a sequence of random numbers of a 1/f noise has the following steps: 1). Determining a constant step &dgr; or instants of consideration t0 to tn; 2). Determining a desired spectral value &bgr;; 3). Determining the number n of the random numbers, to be generated, of a 1/f noise; 4). Determining an intensity constant const; 5). forming a covariance matrix C of dimension (n×n); and 6). Forming the Cholesky decomposition L of the covariance matrix C, with the following steps being carried out for each sequence, to be generated, of random numbers of a 1/f noise: 1). Forming a vector x of length n from random numbers normally distributed in [0,1], and 2). Generating a vector y of length n of the desired 1/f-distributed random numbers by multiplying the Cholesky-decomposition L by the vector x.

Abstract: A method and system for screening out empirically data collected from various steps of a technical process operating based on a first set of parameters, by utilizing a screening algorithm to reduce the size of the empirical data set, thus improving the modeling and revising of the technical process. The algorithm utilizes various classes associated with the empirical values and within each class performs an assessment with respect to preselected threshold values. The algorithm also performs an assessment with respect to another preselected threshold value, for the class as a whole.