CODE 90520 ACADEMIC YEAR 2024/2025 CREDITS 9 cfu anno 1 COMPUTER SCIENCE 10852 (LM-18) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR INF/01 LANGUAGE English TEACHING LOCATION GENOVA SEMESTER 1° Semester TEACHING MATERIALS AULAWEB OVERVIEW The Digital Signal and Image Processing course aims at providing the basic tools for analyzing and processing 1D and 2D signals over time, space and frequency. The course will consist in classes and guided labs. AIMS AND CONTENT LEARNING OUTCOMES Acquiring the basic tools for the analysis of 1D and 2D signals in both the space and frequency domains AIMS AND LEARNING OUTCOMES At the end of the course, students will be able to: 1) understand the signal and image processing terminology (2) describe and apply the main tools of signal and image processing (3) analyse the obtained results in a critical way. PREREQUISITES Linear algebra, basic calculus, programming TEACHING METHODS Class and guided labs SYLLABUS/CONTENT Students will learn basic tools for analyzing one- and two-dimensional signals in space, time and frequency. Main topics of the course: Fourier series, Fourier transform, Linear systems, Kalman filter, Wavelet. Applications of filtering in space and frequencies to digital images. RECOMMENDED READING/BIBLIOGRAPHY Notes, readings, slides shared by the instructors on Aulaweb. Books: Orfanidis "Introduction to Signal Processing"; Oppenheim et al. "Discrete-Time Signal Processing"; Gonzales Woods - "Digital Image Processing" TEACHERS AND EXAM BOARD ALESSANDRO VERRI Ricevimento: Appointment by email Exam Board ALESSANDRO VERRI (President) ANNALISA BARLA FRANCESCA ODONE (President Substitute) LESSONS LESSONS START In agreement with the calendar approved by the Degree Program Board of Computer Science. Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION Written test to assess the entry level requirements. Oral exam on the entire program with a discussion of the assignments ASSESSMENT METHODS The knowledge acquired and the achievement of a sufficient degree of mastery of the mathematical and computational tools at the basis of the teaching will be evaluated through a short written test. The acquisition of skills on the fundamentals of signal and image processing will be verified through homework and oral exam.
