Nonlinear time series analysis
Nonlinear time series analysis
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Neural Networks for RF and Microwave Design (Book + Neuromodeler Disk)
Neural Networks for RF and Microwave Design (Book + Neuromodeler Disk)
Projection-based approaches for model reduction of weakly nonlinear, time-varying systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Performance space modeling for hierarchical synthesis of analog integrated circuits
Proceedings of the 42nd annual Design Automation Conference
UHF RFID tag-antenna matching optimization using VHDL-AMS behavioral modeling
Analog Integrated Circuits and Signal Processing
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This paper compares and contrasts recent nonlinear behavioral modeling techniques designed for microwave and RFIC applications which arise in radio and communication systems, and in the design of broad-band nonlinear components used for microwave instrumentation. These techniques include dynamic neural networks and nonlinear time series models in the time-domain, nonlinear describing functions in the frequency domain, and envelope-based methods in mixed time and frequency domains. Approaches to generating these models from both simulation and nonlinear microwave measurements are reviewed.