Infineon Technologies Ag

Siemens Aktiengesellschaft

Georg Denk

Claus Hillermeier

Stefan Schäffler

Stefan Sch&auml;ffler

Uwe Feldmann

Ralf Klausen

Lars Hedrich

Oliver Schein

The invention relates to a computer-supported, automated method for the verification of analog circuits, and to a storage medium on which a computer software program is stored for performing such method, including transforming of constants or variables characterizing a first equation system for describing the properties of a circuit; transforming of constants or variables characterizing a second equation system for describing the properties of a circuit; and performing a circuit equivalence test by using the transformed quantities obtained from transforming.

Computer-supported, automated method for the verification of analog circuits

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.

Method for on-demand generation of individual random numbers of a sequence of random numbers of a 1/f noise

A computer-aided method for parallel calculation of the operating point of electrical circuits has the circuit partitioned into a number of partitions in a first step, in which the charging method is used for the parallel calculation of the individual partitions.

Computer-assisted method for the parallel calculation of the operating point of electric circuits

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 t to t ; 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 of dimension (n&times;n); and 6). Forming the Cholesky decomposition of the covariance matrix , 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 of length n from random numbers normally distributed in &lsqb;0,1&rsqb;, and 2). Generating a vector of length n of the desired 1/f-distributed random numbers by multiplying the Cholesky-decomposition by the vector .

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Rosenheim, Germany

Georg Denk