Electronics 2

The lessons will introduce students to the analysis of both deterministic and stochastic signals (noise), to sampling and data conversion techniques (A/D and D/A), and to digital filtering.

At the end of the teaching semester, the student will know:
1. the analysis techniques for stochastic processe and the mathematical models for noise in electronic devices;
2. the sampling process, the aliasing effect and the relationship between sampling frequency and signal bandwidth (Shannon's theorem);
3. how to analyze sampled-data circuits using the Z-transform;
4. the principles of data conversion, both from analog to digital domain, and from digital to analog domain;
5. the non-idealities and the limitations of data converters, with reference to common converter architectures;
6. the operation of digital filters, and their analysis using signal flow diagrams and Z-transform;
7. how to design a discrete-time filter starting from the continuous-time prototype, and the relationship between the continuous-time and the discrete-time frequency responses;
8. the effects of the finite word length in digital filters.