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Asymptotic Waveform Evaluation: And Moment Matching for Interconnect Analysis 1994 Edition
Contributor(s): Chiprout, Eli (Author), Nakhla, Michel S. (Author)
ISBN: 0792394135     ISBN-13: 9780792394136
Publisher: Springer
OUR PRICE:   $104.49  
Product Type: Hardcover - Other Formats
Published: November 1993
Qty:
Additional Information
BISAC Categories:
- Technology & Engineering | Electronics - Circuits - General
- Technology & Engineering | Electrical
- Computers | Cad-cam
Dewey: 621.381
LCCN: 93037220
Series: The Springer International Engineering and Computer Science
Physical Information: 0.68" H x 6.36" W x 9.76" (1.10 lbs) 197 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
The intense drive for signal integrity has been at the forefront ofrapid and new developments in CAD algorithms. Thousands ofengineers, intent on achieving the best design possible, use SPICE on a daily basis for analog simulation and general circuit analysis. But the strained demand for high data speeds, coupled with miniaturizationon an unprecedented scale, has highlighted the previously negligible effects of interconnects; effects which are not always handled appro- priately by the present levels of SPICE. Signals at these higher speeds may be degraded by long interconnect lengths compared to the increasingly shorter sig- nal rise times. Interconnect structures can be diverse (pins, connectors, leads, microstrips, striplines, etc. ) and present at any of the hierarchical packaging levels: integrated circuits, printed circuit boards, multi-chip modules or sys- tem backplanes. Analysis of these effects in any CAD package has become a necessity. Asymptotic waveform evaluation (AWE) and other moment matching tech- niques have recently proven useful in the analysis of interconnect structures and various networks containing large linear structures with nonlinear termi- nations. Previously, all that was available to the designer was a full SPICE simulation or a quick but uncertain timing estimation. Moment matching, used in linear systems analysis as a method of model reduction, describes a method to extract a small set of dominant poles from a large network. The information is obtained from the Taylor series coefficients (moments) of that system.