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.
Expected learning outcomes
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.
- Random variables and stochastic processes. Electronic noise: thermal noise, shot noise, flicker noise. - Sampled-data circuits and Z-transform; switched-capacitor circuits; s-z relationships; discrete-time linear filters. - Analog-to-digital and digital-to-analog conversion. Some examples af A/D and D/A converters; oversampling converters. - Digital filters. Finite word-length effects; quantization error (noise). Multirate digital processing. - Micro-electromechanical systems (MEMS); introduction to integrated microsystem technology.
Prerequisites for admission
The knowledge of the topics illustrated in Electronics 1 is required.
Traditional, with lectures in classroom or remotely via web.
Lecture notes are provided by the teacher.
Assessment methods and Criteria
The final test is an oral examination. The student will be asked questions on the topics of the lectures, and he/she must demonstrate deep knowledge of the the topics and the ability of making comparisons and critical evaluation of different circuit solutions.