This paper addresses the problems arising in the calculation of numerical references (network function coefficients) , essential for an appropriate error control in simplification before and during generation algorithms for symbolic analysis of large analog circuits. The conventional polynomial interpolation method reveals to be unable to handle the large circuit sizes needed, mainly due to the dramatic effect of round-off errors. This paper introduces a new algorithm able to accurately calculate the network function coefficients of large analog circuits in an efficient way. 1. Introduction Symbolic circuit analysis refers to the calculation of network functions where all or part of the circuit parameters are represented by symbols. The applicability of symbolic simulation techniques to the analysis and synthesis of analog integrated circuits has been known for a long time. See for instance [1] for an actualized review of techniques and applications of symbolic analysis. Given the e...

This paper reviews the main last generation symbolic analyzers, comparing them in terms of functionality, pointing out also their shortcomings. The state-of-the-art in this field is also studied, pointing out directions for future research. 1. INTRODUCTION Circuit analysis is a basic milestone for efficient design of integrated circuits. Ever since powerful computers have been available, designers have developed programs to analyze circuits automatically. Today, all electrical engineering professionals and students use electrical simulators (such as HSPICE or ELDO). However, electrical simulators do not cover all the analysis tasks required for integrated circuit design. Essentially, they only serve to verify the performance of previously sized circuits. Among other things, designers must be able to predict the behavior of unsized circuits by tracing relationships among performance figures and design parameters. These relationships may be in the form of transfer functions, poles and ...