ASTRX/OBLX: tools for rapid synthesis of high-performance analog circuits
DAC '94 Proceedings of the 31st annual Design Automation Conference
Macromodeling of the A.C. characteristics of CMOS Op-amps
ICCAD '93 Proceedings of the 1993 IEEE/ACM international conference on Computer-aided design
Computational investigations of low-discrepancy sequences
ACM Transactions on Mathematical Software (TOMS)
Shape transformation using variational implicit functions
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Remembrance of circuits past: macromodeling by data mining in large analog design spaces
Proceedings of the 39th annual Design Automation Conference
Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
The sizing rules method for analog integrated circuit design
Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
Visualization of irregular multivariate data
VIS '90 Proceedings of the 1st conference on Visualization '90
Hierarchical symbolic analysis of analog integrated circuits via determinant decision diagrams
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Optimal design of a CMOS op-amp via geometric programming
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
CMOS op-amp sizing using a geometric programming formulation
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Circuit simplification for the symbolic analysis of analog integrated circuits
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Extraction and use of neural network models in automated synthesis of operational amplifiers
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Hierarchical performance macromodels of feasible regions for synthesis of analog and RF circuits
ICCAD '05 Proceedings of the 2005 IEEE/ACM International conference on Computer-aided design
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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Many approaches to analog performance parameter macro modeling have been investigated by the research community. These models are typically derived from discrete data obtained from circuit simulation using numerous input combinations of component sizes for a given circuit topology. The simulations are computationally intensive, therefore it is advantageous to reduce the number of simulations necessary to build an accurate macro model. We present a new algorithm for adaptively sampling multi-dimensional black box functions based on Duchon pseudo-cubic splines. The splines readily and accurately model high dimensional functions based on discrete unstructured data and require no tuning of parameters as seen in many other interpolation methods. The adaptive sampler, in conjunction with pseudo-cubic splines, is used to accurately model various analog performance parameters for an operational amplifier topology using fewer sample points than traditional gridded and quasi-random sampling methodologies.