Analog Circuit Design
Organizers
Description
Symbolic computation techniques can be effectively applied to three
classes of engineering problems in the field of analog circuit design:
- design understanding
- development of generic behavioral circuit models, and
- circuit sizing.
Design understanding requires calculating circuit
functions symbolically in order to determine their functional relation
to circuit behavior.
Development of generic behavioral models is necessary for speeding
up simulations of large analog and mixed-signal circuits on system level
and for numerical circuit optimization.
Circuit sizing means the development of generic (sizable)
libraries of analog building blocks.
Supporting these tasks with computer algebra requires new
algorithmic approaches which combine symbolic computation techniques
with numerical methods. Due to the extremely high complexity of symbolic
calculations, approximation techniques based on numerical magnitude
information must be used to extract dominant information from symbolic
circuit functions. Hence, this session will focus on hybrid symbolic/numeric
algorithms and their applications to the design of analog electronic
circuits.
Talks
Date: July 19th (Friday)
- 08:30-09:10
-
Ralf Sommer,
Eckhard Hennig
Overview talk on symbolic techniques for circuit analysis
Abstract
- 09:10-09:40
-
Carsten Borchers,
Lars Hedrich
Symbolic Behavioral Model Generation and
Formal Verification of Analog Circuits.
Abstract
- 09:40-10:00
-
Georges Gielen,
Piet Wambacq,
Willy Sansen
Techniques for the symbolic analysis of distortion and
intermodulation.
Abstract
-
- 10:00-10:30
-
Coffee Break
-
- 10:30-11:00
-
Wolfgang Mathis
Nonlinear network theory, differential geometric approach to
nonlinear networks
Abstract
- 11:00-11:30
-
Ljiljana Trajkovic
Homotopy Methods for Solving Nonlinear Equations
and their Applications in Circuit Simulation.
Abstract
- 11:30-12:00
-
B. Mourrain
Integration of algebraic and numerical tools for devising efficient
algorithms for the solution of systems of polynomial equations.
Abstract