Waveform relaxation approach to PWL simulation of analogue and mixed A/D networks at the functional level

The application of waveform relaxation to the piecewise linear (PWL) macro-simulation technique is considered. It is oriented towards functional-level analogue and mixed-signal structures of A/D, networks. The main issues in the actual PWL approach are briefly described. The waveform relaxation-based PWL algorithm is formulated in terms of a mathematical network model, and the convergence proof for it is given. Different feedback loops faced in analogue and mixed A/D networks are discussed with respect to the algorithm convergence. Mlacro-simulation examples of practical use illustrating the presented approach are also included.