Signal processing applications span an immense set of discipines that include communications, space explorations, and medicine just to name a few. In particular, digital signal processing deals with the representation, transformation, and manipulation of signals and the information therein.
This course aims to provide the basic knowledge on the basic methodologies for signal manipulation, digital signal processing. Particular attention will be given to biomedical applications of each presented techinque. This to provide to the student a view of direct usage of theoretical knowledge
This course aims to provide theoretical instruments and practical examples for the treatment of digital signals and data with particular attention to the biomedical applications. The main objective of this teaching course is to give insights of the importance of signal processing techniques and of inferential statistics as fundamental instruments of the biomedical engineer. The application of those techniques will develop specific capabilites of the biomedical engineering student in the usage of those teoretical contecpts tailored to problems specific of medical-biological contexts.
It is required for the student to have basic understanding of the fundamental elements of system engineering (e.g., Laplace Fourier transforms) and basic descriptive statistics - e.g., hisotgrams, mean and variance
Frontal lessons with Matlab exercises that students will solve autonomously and deliver through aulaweb-platoform for their evaluaiton at the end of the semestrer.
Digital signal processing
Data processing
Ricevimento: With appointment: Tel. 0103532220 or marco.fato@unige.it
MARCO MASSIMO FATO (President)
GABRIELE ARNULFO
NORBERT MAGGI
The final exam consists of a written tests with exercises and open-questions on the topic covered during frontal lessons. With a successful written exam (grade > 18), the student will undergo oral examination with a discussion of the written exam and the evaluation of the Matlab exercises.
