Analog and Digital Conversion

This lecture covers the fundamentals of analog and digital signal processing, including topics such as sampling, low pass filtering, A/D and D/A conversion, resolution, dynamic and static parameters, settling time, and digital interfaces. The instructor explains the importance of sampling frequency, the Nyquist theorem, and the reconstruction of signals from samples. The lecture also delves into the representation of numbers in binary, unipolar and bipolar converters, and the impact of resolution on the number of discrete levels. Additionally, it discusses the settling time of converters, glitches during code changes, and the conversion frequency. The session concludes with a focus on multi-level quantization codes, signal-to-noise ratio, effective bits, and digital interfaces.