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100301s2009 ne | s |||| 0|eng d |
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|a 9789048129065
|9 978-90-481-2906-5
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|a 10.1007/978-90-481-2906-5
|2 doi
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|a TK7888.4
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|a TJFC
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|a TEC008010
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|a 621.3815
|2 23
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| 100 |
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|a McConaghy, Trent.
|e author.
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| 245 |
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|a Variation-Aware Analog Structural Synthesis
|c by Trent McConaghy, Pieter Palmers, Peng Gao, Michiel Steyaert, Georges Gielen.
|h [electronic resource] /
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| 264 |
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1 |
|a Dordrecht :
|b Springer Netherlands,
|c 2009.
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| 300 |
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|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 490 |
1 |
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|a Analog Circuits and Signal Processing
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| 520 |
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|a Variation-Aware Analog Structural Synthesis describes computational intelligence-based tools for robust design of analog circuits. It starts with global variation-aware sizing and knowledge extraction, and progressively extends to variation-aware topology design. The computational intelligence techniques developed in this book generalize beyond analog CAD, to domains such as robotics, financial engineering, automotive design, and more. The tools are for: Globally-reliable variation-aware automated sizing via SANGRIA, leveraging structural homotopy and response surface modeling. Template-free symbolic models via CAFFEINE canonical form functions, for greater insight into the relationship between design/process variables and circuit performance/robustness. Topology selection and topology synthesis via MOJITO. 30 well-known analog building blocks are hierarchically combined, leading to >100,000 different possible topologies which are all trustworthy by construction. MOJITO does multi-objective genetic programming-based search across these topologies with SPICE accuracy, to return a set of sized topologies on the optimal performance/yield tradeoff curve. Nonlinear sensitivity analysis, topology decision trees, and analytical tradeoffs. With a data-mining perspective on Pareto-optimal topologies, this book shows how to do global nonlinear sensitivity analysis on topology and sizing variables, automatically extract a specs-to-topology decision tree, and determine analytical expressions of performance tradeoffs. Novel topology design. The MOJITO-N and ISCLEs tools generate novel yet trustworthy topologies; including boosting digitally-sized circuits for analog functionality.
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| 650 |
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|a Engineering.
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| 650 |
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0 |
|a Electronic data processing.
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| 650 |
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|a Systems engineering.
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| 650 |
1 |
4 |
|a Engineering.
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| 650 |
2 |
4 |
|a Circuits and Systems.
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| 650 |
2 |
4 |
|a Computing Methodologies.
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| 700 |
1 |
# |
|a Palmers, Pieter.
|e author.
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| 700 |
1 |
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|a Gao, Peng.
|e author.
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| 700 |
1 |
# |
|a Steyaert, Michiel.
|e author.
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| 700 |
1 |
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|a Gielen, Georges.
|e author.
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| 710 |
2 |
# |
|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
0 |
8 |
|i Printed edition:
|z 9789048129058
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| 830 |
# |
0 |
|a Analog Circuits and Signal Processing
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| 856 |
4 |
0 |
|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-90-481-2906-5
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| 912 |
# |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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