MULTIDIMENSIONAL SIGNAL PROCESSING
Academic year2016/17
CourseBIOMEDICAL ENGINEERING
Code257II
Credits6
PeriodSemester 1
LanguageItalian
| Modules | Area | Type | Hours | Teacher(s) |
| METODI PER L'ANALISI DI SEGNALI MULTIDIMENSIONALI | ING-INF/06 | LEZIONI | 60 | |
Programma non disponibile nella lingua selezionata
Knowledge
The student who successfully completes the course will be able to demonstrate a solid knowledge of the main signal processing procedures for signal denoising and features extraction. A special emphaysis is put on signal pre-processing procedures common to the most important imaging instrumentation, and on the trade-off between image resolution and physical and technological aspects. The course contemplates a consistent number of CFU to implement simulation and processing procedures using Matlab.
Assessment criteria of knowledge
Methods:
Teaching methods
Delivery: face to face
Learning activities:
- attending lectures
- individual study
- group work
- Laboratory work
Attendance: Mandatory
Teaching methods:
Syllabus
The main topics are:
- image preprocessing: image formation including modulation/demodulation techniques and complex envelope detection; signal to noise relevance on image processing and parameters extraction.
- signal analysis: time-frquency analysis, spatial filters, algorithms for data complexity reduction, statistical classificators
Bibliography
Material supplied by the teacher
Updated: 14/11/2016 17:27
