Modelling & Optimization of Signals Using Machine Learning Techniques

Abstract

Computing power is greatly increased in the previous few years as a result of rapid advancement in semiconductor technology. Machine learning methods have attracted a slew of new applications because of this significant boost to computing. Many researchers working on the design and optimization of the electronic circuits are now shifting towards the ML-based approach to synthesize the circuits. ML-based approaches have gained significant importance because of the aid they provide as they can be deployed at various levels, from design to modelling to testing of the components. Complex or non-linear problems can be easily and efficiently solved using the ML approach thus it is much suited for the automation of RF circuits where the input–output relation is complex. Furthermore, employment of the ML-based techniques in RF electronic design automation (EDA) tools boosts the performance of such tools. The chapter presents a comprehensive review on the recent research advancements and the ML techniques that are used for the optimization of the RF circuits.