ELABORAZIONE DI SEGNALI PER APPLICAZIONI MULTIMEDIALI
Academic Year 2019/2020 - 1° Year
Teaching Staff: Giovanni SCHEMBRA
Credit Value: 9
Scientific field: ING-INF/03 - Telecommunications
Taught classes: 56 hours
Laboratories: 25 hours
Term / Semester: 1°
ENGLISH VERSION
Credit Value: 9
Scientific field: ING-INF/03 - Telecommunications
Taught classes: 56 hours
Laboratories: 25 hours
Term / Semester: 1°
ENGLISH VERSION
Learning Objectives
- 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
Course Structure
The course is composed by a theory part of 56 hours, and a laboratory part of 25 hours.
Detailed Course Content
- 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.
Textbook Information
- [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.