Tuning

Self-Learning MIMO-RF Receiver Systems: Process Resilient Real-Time Adaptation to Channel Conditions for Low Power Operation

Prior research has established that dynamically trading-off the performance of the RF front-end for reduced power consumption across changing channel conditions, using a feedback control system that modulates circuit and algorithmic level "tuning …

Atomic Model Learning: A Machine Learning Paradigm for Post Silicon Debug of RF/Analog Circuits

As RF design scales to the 28nm technology node and beyond, pre-silicon simulation and verification of complex mixed-signal/RF SoCs is becoming intractable due to the difficulties associated with simulating diverse electrical effects and design bugs. …

RAVAGE: Post-Silicon Validation of Mixed Signal Systems Using Genetic Stimulus Evolution and Model Tuning

With trends in mixed-signal systems-on-chip indicating increasingly extreme scaling of device dimensions and higher levels of integration, the tasks of both design and device validation is becoming increasingly complex. Post-silicon validation of …