Efficient Hermite-based Variability Analysis Using Decoupling Technique

It appears your Web browser is not configured to display PDF files. Download adobe Acrobat or click here to download the PDF file.

Click here to download the PDF file.


Pham, Tuan Anh




During the design and fabrication process of electronic systems, one of the major concerns is predicting the effect of the variability of their geometrical and physical parameters on the general performance of the designed circuits.

To address the above difficulty, this thesis presents a new Hermite-based approach to circuit variability analysis using the Polynomial-Chaos (PC) paradigm. The new approach is aimed at limiting the growth of the computational cost of variability
analysis with the increase in the number of random variables and the number of Hermite coefficients used to
represent the circuit response in each random variable. The proposed method is based on deriving a closed-form for the structure of augmented matrices generated by the PC approach. An algorithm is then developed to decouple the large augmented matrices into independent matrices that can be factorized in parallel. Additionally, the model-order reduction is applied to circuit stochastic analysis using the proposed PC approach.


PHYSICAL SCIENCES Engineering - Electronics and Electrical




Carleton University

Thesis Degree Name: 

Master of Applied Science: 

Thesis Degree Level: 


Thesis Degree Discipline: 

Electrical and Computer Engineering

Parent Collection: 

Theses and Dissertations

Items in CURVE are protected by copyright, with all rights reserved, unless otherwise indicated. They are made available with permission from the author(s).