Project Description

Learning objectives

The course aims at providing to the students the theoretical and practical tools for the development of design capabilities and implementation awareness of DSP systems and applications.

Course content

Discrete-time signals and systems; The sampling process; Discrete-time Fourier transform (DTFT); Z-transform; Discrete Fourier Series (DFS); Discrete Fourier Transform (DFT); Introduction to Processing; Finite and Long Processing; DFT-based Processing; Fast Fourier Transform (FFT); Introduction to Digital Filters: FIR and IIR classification; Structures, design and implementation of IIR filters; Structures, design and implementation of FIR filters; Analysis of finite word length effects; DSP system design and applications; Discrete-time random signals; Spectral Density estimation. VLAB: Design examples and applications of IIR filters; Design examples and applications of FIR filters; Matlab-based lab and exercises.

Professor

Marina Ruggieri
0 credits
60 hours
0 year
Master Degree
0 semester