Smart Sensors for the IoT: ADCs Fundamentals

This lecture covers the fundamentals of Analog-to-Digital Converters (ADCs) for smart sensors in the Internet of Things (IoT). It explains how ADCs convert analog signals to digital, the role of Low Pass Filters in eliminating high-frequency signals, and the operation of Sampling circuits. The lecture also delves into Quantization, discussing quantization levels, errors, and noise. It explores ADC non-idealities like Offset and Gain errors, Differential and Integral Non-Linearity, and their impact on signal processing. Additionally, it covers ADC topologies, including Nyquist-rate and Oversampling ADCs, and the characteristics of SAR and Incremental ADCs.