Sensitivity and Tolerance Analysis in Analog Circuits using Symbolic Methods

On the Sensitivity Analysis of Analog Circuits

The paper presents three procedures for the sensitivity analysis using auxiliary circuits: the Bykhovsky Perkins Cruz’s method, the incrementalcircuit approach and the adjoint-circuit approach. All methods, based on the auxiliary circuits, have needed an efficient partially-symbolic method for the circuit analysis. For this, it was elaborated a very good procedure for the partially-symbolic ana...

MOCA ARM: Analog Reliability Measurement based on Monte Carlo Analysis

Due to the expected increase of defects in circuits based on deep submicron technologies, reliability has become an important design criterion. Although different approaches have been developed to estimate reliability in digital circuits and some measuring concepts have been separately presented to reveal the quality of analog circuit reliability in the literature, there is a gap to estimate re...

Modeling and Simulation of Substrate Noise in Mixed-Signal Circuits Applied to a Special VCO

The mixed-signal circuits with both analog and digital blocks on a single chip have wide applications in communication and RF circuits. Integrating these two blocks can cause serious problems especially in applications requiring fast digital circuits and high performance analog blocks. Fast switching in digital blocks generates a noise which can be introduced to analog circuits by the common su...

Fault Diagnosis in Analog Circuits via Symbolic Analysis Techniques

Hierarchical Symbolic Analysis of Large Analog Circuits with Determinant Decision Diagrams

A novel hierarchical approach is proposed to symbolic analysis of large analog circuits. The key idea is to use a graph-based representation—called Determinant Decision Diagram (DDD)— to represent the symbolic determinant and cofactors associated with the MNA matrix for each subcircuit block. By exploiting the inherent sharing and sparsity of symbolic expressions, DDD is capable of representing...