Analog Integrated Circuit Design Under PVT Conditions
Efficient Reinforcement and Transfer Learning Techniques
Buch in deiner Nähe kaufen
Beschreibung
This book delivers a focused, technical exploration of automated analog and RF integrated circuit sizing under process, voltage, and temperature variations, guiding readers through foundational concepts, current methodologies, and advanced machine‑learning‑driven approaches. It first examines multiple reinforcement‑learning‑based strategies for embedding PVT conditions directly into modern sizing flows, clarifying their conceptual differences and practical implications. It then explores a complementary deep‑learning‑assisted approach that leverages ANN‑based performance regressors, transfer learning, and adaptive refinement to accelerate simulation‑driven optimization without requiring extensive corner‑specific datasets. Together, these chapters provide a grounded overview of current techniques and ongoing developments in automated analog IC design.
Compares different approaches for the inclusion of PVT corners into reinforcement learning agents Covers implementation of reinforcement learning for the design of analog and radio-frequency integrated circuits Focuses on automating the design of analog and radio-frequency integrated circuits
Autor*in
Pedro Alberto Oliveira Paiva
Themen in »Analog Integrated Circuit Design Under PVT Conditions«
Automatic Analog Integrated Circuit Sizing Automatic Design Techniques for Radio-frequency ICs Analog Synthesis with Reinforcement Learning Electronics Design with Transfer Learning PVT-Aware Analog Design PVT-Aware Analog Design