ECTS - University of Pisa
Scheda programma d'esame
DIGITAL SIGNAL PROCESSING
ANTONIO ALBERTO D'AMICO
Academic year2016/17
CourseTELECOMMUNICATIONS ENGINEERING
Code568II
Credits12
PeriodSemester 1
LanguageItalian

ModulesAreaTypeHoursTeacher(s)
DIGITAL SIGNAL PROCESSINGING-INF/03LEZIONI90
ANTONIO ALBERTO D'AMICO unimap
GREGORIO PROCISSI unimap
LABORATORIO INFORMATICO DI DIGITAL SIGNAL PROCESSINGING-INF/03LABORATORI30
GREGORIO PROCISSI unimap
Programma non disponibile nella lingua selezionata
Learning outcomes
Knowledge
The student who successfully completes the course will be able to demonstrate a solid knowledge of the basic notions on Digital Signal Processing. He or she will acquire the ability of analyzing of discrete time signals and systems both in the time and frequency domain. He or she will also be able to demonstrate advanced knowledge of the use of the Discrete Fourier Transform (DFT) and of its efficient implementation (FFT) for the spectral analysis of discrete time signals and for the effective implementation of digital filters. Finally, he or she will be aware of practical methods for the synthesis of digital filters both FIR (Finite Impulse Response) and IIR (Infinite Impulse Response).
Assessment criteria of knowledge
During the written exam (2 hours), the student is asked to solve two exercises in order to demonstrate the ability to put into practice the basic principles of digital signal processing. One of the two exercises requires using MATLAB to solve practical filter design and implementation. During the oral exam, the student will be assessed on his/her ability in discussing the main course contents with competence, critical awareness and propriety of expression.

Methods:

  • Final oral exam
  • Final written exam

Further information:
The final test is composed by a written exam followed by an oral exam. In general, both each part contributes 50% to the definition of the final grade.
Teaching methods

Delivery: face to face

Learning activities:

  • attending lectures
  • participation in discussions
  • individual study
  • Laboratory work

Attendance: Advised

Teaching methods:

  • Lectures
  • laboratory
Syllabus
Discrete time signals and systems. Time domain and frequency domain description. Linear time-invariant systems and the frequency response. System described by linear constant-coefficient difference equations. Digital processing of continuos-time signals. The Discrete Fourier Transform (DFT) and its applications. Fast Fourier Transform (FFT). FIR filtering via FFT. Practical spectral analysis using FFT. The Z transform. FIR filters design: truncation and windowing, sampling the frequency response, Parks McClellan method and equiripple FIR filters. IIR filters design based on analog filter prototypes: Butterworth, Chebychev, Elliptic. Impulse invariance and bilinear transformation methods.
Bibliography
Recommended reading includes the following works; further bibliography will be indicated. [1] A. V. Oppenheim, R. W. Schafer, "Discrete time signal processing III Ed.", Prentice Hall, 2010. [2] Boaz Porat, "A course in digital signal processing", J. Wiley & Sons, 1997. [3] J. G. Proakis, D. M. Manolakis, "Digital Signal Processing: principles, algorithms and applications IV Ed.". Pearson Prentice Hall, 2007.
Updated: 14/11/2016 17:27