OVERVIEW

This subject aims to provide basic elements for the design and synthesis of analog and digital filters. One half of the lectures is given in laboratory, where the students are driven to design, simulate, implement and test different kinds of filters, by using tools such as PSPICE, MATLAB and laboratory equipment.

AIMS AND CONTENT

LEARNING OUTCOMES

To be able to design analog and digital filters, starting from assigned technical specifications, to simulate them and implement most of them.

AIMS AND LEARNING OUTCOMES

It is expected that at the end of this subject the student will be able to design analog and digital filters, starting from assigned technical specifications, and to simulate them. Moreover, he/she should be able to implement and test the kinds of filters physically realized and tested during the lectures. To this end, he/she has to learn the main peculiar features of each class of filters and the corresponding design techniques described during the classroom lectures. Given a specific filter design problem, the student has firstly to decide what class of filters can be (or has to be) used to solve it. Then he/she can start designing the filter, by using not only the techniques specific for filters, but also general concepts coming from other areas, such as signal processing and automatic controls, as illustrated during the lectures. This capacity of solving non-trivial problems is one of the main elements of the scientific cultural baggage of an engineer.

PREREQUISITES

Basic concepts of circuit theory, electronics, signal processing, automatic controls.

TEACHING METHODS

About 30 classroom hours and 30 lab hours. The lab hours will be taken in the "flipped classroom" modality, after team-based learning, by a small (2-4) group of students, under the guidance of the teacher and a tutor.

SYLLABUS/CONTENT

Synthesis of RLC and LC immittances

General concepts about filter synthesis (doubly-terminated filters, frequency transforms, ideal and physical filters, adaptation)

Butterworth filters (design techniques, HW lab activity)

Chebyschev filters (design techniques, HW lab activity)

Elliptic filters (notes on design techniques, HW lab activity)

Bessel filters (notes)

Digital filters (FIR and IIR filters design techniques, Matlab activity)

Adaptive filters (design techniques, Matlab activity)

RC active filters (design techniques, HW lab activity)

Switched-capacitor filters (principles, HW lab activity)

RECOMMENDED READING/BIBLIOGRAPHY

- Notes provided by the lecturer (main reference)

- C. Bowik, "RF circuits design," Newnes, 1997.

- J.G. Proakis, D.G. Manolakis, "Digital signal processing: principles, algorithms, and applications," Prentice Hall, 1996.

- M.E. Van Valkenburg, "Analog Filter Design," Oxford University Press, 1995.

- A. Liberatore, S. Manetti, "La progettazione dei filtri elettronici," Edizione Medicea, 1985.

- L.B. Jackson, "Digital filters and signal processing," Kluwer Academic Publishers, 1996.

TEACHERS AND EXAM BOARD

Exam Board

MARCO STORACE (President)

VALENTINA BARUZZI

ALBERTO OLIVERI

MAURO PARODI

ALESSANDRO RAVERA

MATTEO LODI (President Substitute)

LESSONS

LESSONS START

https://corsi.unige.it/9273/p/studenti-orario

Class schedule

ANALOG AND DIGITAL FILTERS

EXAMS

EXAM DESCRIPTION

Two possible modalities:

-) Teaching lessons ("flipped classroom") + oral (discussion concerned with the topics treated during the lessons and to the design techniques applied during lab activities)

-) Oral: two discussions starting from two questions (one chosen by the student and one asked by the examiner) concerned with the topics treated during the lessons and to the design techniques applied during lab activities.

Students with learning disorders ("disturbi specifici di apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities.

ASSESSMENT METHODS

The learning results are assessed individually either

through the lab activities (max. 20 marks) and an oral exam (max. 10 marks)

or

through an oral exam (max. 30 marks)

In all cases, the assessment will be based on:

-) communication skills

-) knowledge and comprehension of the subject topics

-) knowledge and skillnesses in using the SW packages (PSPICE, Matlab)

-) ability to synthesize through a filter design

-) autonomy of judgment in making filter design choices

Exam schedule