MIX-SYN A Framework for Fast-tracking Analogue and Mixed-Signals Design

Liao, Eric (2007). MIX-SYN A Framework for Fast-tracking Analogue and Mixed-Signals Design MPhil Thesis, School of Information Technology and Electrical Engineering, University of Queensland.

       
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Author Liao, Eric
Thesis Title MIX-SYN A Framework for Fast-tracking Analogue and Mixed-Signals Design
School, Centre or Institute School of Information Technology and Electrical Engineering
Institution University of Queensland
Publication date 2007
Thesis type MPhil Thesis
Supervisor Dr Adam Postula
Subjects 280000 Information, Computing and Communication Sciences
Abstract/Summary Modern integrated circuits rely significantly on digital cores communicating with the real world using analogue and mixed-signals interfaces. High-speed serial communi- cations is a prime example where non-digital components play a crucial role in its predominantly digital functionality. Shortening time-to-market and shrinking process technologies have resulted in greater demand for fast design of mixed-signals systems. Digital components of these systems are easy to abstract and supported by established computer-aided-design (CAD) and electronic design automation (EDA) tools. This is in stark contrast to the analogue and mixed-signals components that are mostly designed using manual, time-consuming, and error-prone techniques. This thesis presents the MIX-SYN (MIXed-signals SYNthesis) Framework as a solution for improving analogue and mixed-signals design. Through examining current design processes and their fallacies, the top-down design methodology is reasoned as the path towards 'first pass success' for designers. The MIX-SYN Framework provides a unified system, behavioural, and transistor level simulation environment to bridge the existing discontinuity of design transfer between levels of abstractions. Designers can then fully realize the benefits of a proper top-down methodology with fast-tracking of design exploration and the facilitation design re-use.

 
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Created: Fri, 21 Nov 2008, 21:10:12 EST