SIM-DSP: A DSP-Enhanced CAD Platform for Signal Integrity Macromodeling and Simulation

Macromodeling-Simulation process for signal integrity verifications has become necessary for the high speed circuit system design. This paper aims to introduce a “VLSI Signal Integrity Macromodeling and Simulation via Digital Signal Processing Techniques” framework (known as SIM-DSP framework), whic...

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Main Author: Chi-Un Lei
Format: Article
Language:English
Published: Spolecnost pro radioelektronicke inzenyrstvi 2014-12-01
Series:Radioengineering
Subjects:
Online Access:http://www.radioeng.cz/fulltexts/2014/14_04_1109_1120.pdf
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author Chi-Un Lei
author_facet Chi-Un Lei
author_sort Chi-Un Lei
collection DOAJ
description Macromodeling-Simulation process for signal integrity verifications has become necessary for the high speed circuit system design. This paper aims to introduce a “VLSI Signal Integrity Macromodeling and Simulation via Digital Signal Processing Techniques” framework (known as SIM-DSP framework), which applies digital signal processing techniques to facilitate the SI verification process in the pre-layout design phase. Core identification modules and peripheral (pre-/post-)processing modules have been developed and assembled to form a verification flow. In particular, a single-step discrete cosine transform truncation (DCTT) module has been developed for modeling-simulation process. In DCTT, the response modeling problem is classified as a signal compression problem, wherein the system response can be represented by a truncated set of non-pole based DCT bases, and error can be analyzed through Parseval’s theorem. Practical examples are given to show the applicability of our proposed framework.
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spelling doaj.art-14cb427df01040bcb7d033cde65da8ca2022-12-22T01:14:33ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25122014-12-0123411091120SIM-DSP: A DSP-Enhanced CAD Platform for Signal Integrity Macromodeling and SimulationChi-Un LeiMacromodeling-Simulation process for signal integrity verifications has become necessary for the high speed circuit system design. This paper aims to introduce a “VLSI Signal Integrity Macromodeling and Simulation via Digital Signal Processing Techniques” framework (known as SIM-DSP framework), which applies digital signal processing techniques to facilitate the SI verification process in the pre-layout design phase. Core identification modules and peripheral (pre-/post-)processing modules have been developed and assembled to form a verification flow. In particular, a single-step discrete cosine transform truncation (DCTT) module has been developed for modeling-simulation process. In DCTT, the response modeling problem is classified as a signal compression problem, wherein the system response can be represented by a truncated set of non-pole based DCT bases, and error can be analyzed through Parseval’s theorem. Practical examples are given to show the applicability of our proposed framework.www.radioeng.cz/fulltexts/2014/14_04_1109_1120.pdfsimulationsignal integrityhigh-speed circuitsmacromodeling
spellingShingle Chi-Un Lei
SIM-DSP: A DSP-Enhanced CAD Platform for Signal Integrity Macromodeling and Simulation
Radioengineering
simulation
signal integrity
high-speed circuits
macromodeling
title SIM-DSP: A DSP-Enhanced CAD Platform for Signal Integrity Macromodeling and Simulation
title_full SIM-DSP: A DSP-Enhanced CAD Platform for Signal Integrity Macromodeling and Simulation
title_fullStr SIM-DSP: A DSP-Enhanced CAD Platform for Signal Integrity Macromodeling and Simulation
title_full_unstemmed SIM-DSP: A DSP-Enhanced CAD Platform for Signal Integrity Macromodeling and Simulation
title_short SIM-DSP: A DSP-Enhanced CAD Platform for Signal Integrity Macromodeling and Simulation
title_sort sim dsp a dsp enhanced cad platform for signal integrity macromodeling and simulation
topic simulation
signal integrity
high-speed circuits
macromodeling
url http://www.radioeng.cz/fulltexts/2014/14_04_1109_1120.pdf
work_keys_str_mv AT chiunlei simdspadspenhancedcadplatformforsignalintegritymacromodelingandsimulation