Σχεδίαση Αναλογικών Μικροηλεκτρονικών Κυκλωμάτων


Code 3.5.3258.8
Semester 8th
Category
Credits 4
Class Hours - Lab Hours 3 - 1
Lecturers Paul P. Sotiriadis, Nikolaos Voudoukis

Description

Introduction to CMOS and BiCMOS technologies, properties of the integrated components, large and small-signal models. Analog IC layout techniques and concepts in Design for Manufacturability (DFM), including Process, Voltage and Temperature (PVT) variation and components’ mismatch analysis using local and global corner and Monte-Carlo simulation. Biasing and basic amplification circuits. Operational amplifiers and transconductors, linearization techniques, chopping and switch-capacitor circuits and concepts of gm-C filters. Sample-and-hold circuits, comparators and concepts of D/A and A/D converters. Design of power management circuits including bandgap references, regulators, and charge-pump circuits. Basic concepts in high-frequency models and operation of semiconductor devices. Elements of RF communication systems and transceiver architectures, impedance matching, RF low-noise amplifiers, Phase-Locked Loops (PLL) and their core components including Voltage-controlled oscillators (VCO). Introduction to analog implementation of Machine Learning (ML) algorithms. Design of analog ML classifiers based on Gaussian function and winner-take-all circuits. Co-design of hardware and software for analog intensive machine learning systems. Analog/RF IC design and simulation flow with extensive use of EDA tools (Cadence Virtuoso Studio) – Semester design project. For more information visit http://circuits.ece.ntua.gr/cms/courses