|SCIENTIFIC DISCIPLINARY SECTOR||ING-INF/03|
The class aims at giving the students an overview of the theory and applications of digital signal processing, digital systems and applications.
The class aims at giving the students the knowledge about digital signal processing and digital systems both in the time and frequency domains, digital filters and applications of the theory applied to processing, compression and
transmission of audio signals, still images and video sequences.
Course Notes provided by the Teachers.
Office hours: By appointment. Please contact the lecturer by email (igor_dot_bisio_at_unige_dot_it), via TEAMS or by phone +39-010-3532803.
Office hours: Appointment with students can be fixed through mail interaction
All class schedules are posted on the EasyAcademy portal.
The exam of this course is splitted into two parts. The exam for the first part is aimed to verify the knowledge of the theoric bases of digital signal processing. The exam for the second part is aimed to verify the the ability to use the tools for software design (e.g. Matlab) and for the simulation and design of numerical filters (FIR and IIR) and for spectral estimation schemes based on the DFT/FFT.
For the first part there are written and oral exams.
The second part exam includes a multiple choice and answer test aimed at verifying the student's understanding of theoretical topics carried out during the second semester with Prof. Lavagetto. In addition it student will also have to carry out a practical test on Matlab in which he will be asked to solve practical problems on real signals (eg voice signal) through signal processing algorithms (Prof. Sciarrone).
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.
For the first part, the written exam asks the student to solve problems related to the theory of discrete time analysis and signal processing. During the oral exam the students must demonstrate that they know how solve exercises (simpler than thr written ones) and know how answer theoretical questions. Both for the part of Prof. Lavagetto and of Prof. Sciarrone the students will have to demonstrate knowledge of the topics covered in class by solving theoretical (on paper) and practical (via Matlab) problems. The second semester exam is passed if the average WITHOUT ROUNDING of the theoretical part (Prof. Lavagetto) and Matlab (Prof Sciarrone) is greater than or equal to 17.