ELABORAZIONE DI SEGNALI PER APPLICAZIONI MULTIMEDIALI

• Ability to manage Discrete-time signals and systems numerically, also using in the Fourier and Z domains
• Ability to design numerical filters (FIR Filters and IIR Filters)
• Ability to analyze a discrete-time sequence through spectral estimation
• Ability to process audio, still pictures and motion video signals: wav, mp3, jpeg and mpeg

The course is composed by a theory part of 56 hours, and a laboratory part of 25 hours.

• Discrete-time signals and systems.
• Discrete-Fourier Analysis of periodic sequences (DFT).
• DCT and FFT transforms.
• Characterization of discrete-time systems.
• Interpolation and decimation of discrete-time sequences. Z-transform.
• System description by finite-difference equations.
• FIR filters and their design in Matlab.
• IIR filters and their design in Matlab.
• Processing of audio, still pictures and motion video signals: wav, mp3, jpeg and mpeg.

• [Smi] The Scientist and Engineer’s Guide to Digital Signal Processing, Second Edition, Steven W. Smith, California Technical Publishing, San Diego, California. [Link]
• [Opp] A. V. Oppenheim, R. W. Schafer, Elaborazione numerica dei segnali, Angeli, Milano, 2003
• [Pro] J. G. Proakis, D. G. Manolakis, Digital signal processing.