Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Design of Analog CMOS Integrated Circuits
Design of Analog CMOS Integrated Circuits
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Modified model for settling behavior of operational amplifiers in nanoscale CMOS
IEEE Transactions on Circuits and Systems II: Express Briefs
A CMOS VGA with DC offset cancellation for direct-conversion receivers
IEEE Transactions on Circuits and Systems Part I: Regular Papers
A high-gain acquisition system with very large input range
IEEE Transactions on Circuits and Systems Part I: Regular Papers
A 1.2-V 12-b 120-MS/s SHA-free dual-channel Nyquist ADC based on midcode calibration
IEEE Transactions on Circuits and Systems Part I: Regular Papers - Special issue on ISCAS2008
Single-capacitor active-feedback compensation for small-capacitive-load three-stage amplifiers
IEEE Transactions on Circuits and Systems II: Express Briefs
Measuring the uniqueness and variety of analog circuit design features
Integration, the VLSI Journal
The invention of CMOS amplifiers using genetic programming and current-flow analysis
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Projection-based approaches for model reduction of weakly nonlinear, time-varying systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Modeling nonlinear dynamics in analog circuits via root localization
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Analysis and compact behavioral modeling of nonlinear distortion in analog communication circuits
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Compact reduced-order modeling of weakly nonlinear analog and RF circuits
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Structural Macromodeling of Analog Circuits Through Model Decoupling and Transformation
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
| Hi-index | 0.00 |
This paper presents a symbolic technique to create ordered feature clustering schemes that express the main similarities and differences between analog circuits. Four separation scores, based on entropy, item characteristics, category characteristics, and Bayesian classifiers, were studied to produce clustering schemes that offer insight about the uniqueness and importance of specific design features in setting AC performance as well as the limiting factors of the designs. The experiments consider a set of 50 state-of-the-art amplifier circuits. The paper offers a detailed discussion on using the insight obtained from circuit feature clustering for topology synthesis and refinement.