Risorse bibliografiche
 Risorsa bibliografica obbligatoria Risorsa bibliografica facoltativa
 Scheda Riassuntiva
 Anno Accademico 2017/2018 Scuola Scuola di Ingegneria Industriale e dell'Informazione Insegnamento 096679 - DIGITAL COMMUNICATION 096676 - DIGITAL COMMUNICATION I Docente Magarini Maurizio Cfu 5.00 Tipo insegnamento Modulo Di Corso Strutturato

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Insegnamento
Ing Ind - Inf (Mag.)(ord. 270) - MI (474) TELECOMMUNICATION ENGINEERING - INGEGNERIA DELLE TELECOMUNICAZIONI*AZZZZ096679 - DIGITAL COMMUNICATION
091039 - DIGITAL COMMUNICATION I
Ing Ind - Inf (Mag.)(ord. 270) - MI (476) ELECTRONICS ENGINEERING - INGEGNERIA ELETTRONICA*AZZZZ096679 - DIGITAL COMMUNICATION

 Programma dettagliato e risultati di apprendimento attesi
 1) Aims and learning outcomes The course is finalized to learn the basics of digital communication and to acquire capabilities in the use of commercial software tools as Matlab and Simulink for simulation and performance evaluation of digital transmission systems.   2) Syllabus   2a) Digital Communication I Representation of Signals.  Geometric representation of signals, Schwarz inequality, projection onto the signal space, Gram-Schmidt orthogonalization, geometric representation of noise, signal-to-noise ratio, matched filter. MAP detection, MV detection, minimum squared distance detection, correlation detection. Baseband equivalent of passband signals. Limits of Communication.  Entropy, equivocation, mutual information. Capacity of the discrete-time channel, capacity of the AWGN channel, capacity of the channel with coloured Gaussian noise, water filling. Modulation. Nyquist filter. QAM and PSK modulation. Error probability, union bound. Law of 6 dB/bit for PSK, law of 3 dB/bit for QAM, back to the AWGN capacity formula. Modulation based on orthogonal signals, examples, performance evaluation. OFDM, cyclic prefix, frequency domain equalization for OFDM. Binary Channel Codes. Channel capacity with a power constraint, examples of binary block codes, performance of soft and hard decoding. Generator matrix and parity check matrix, generator polynomial and parity check polynomial. Trellis representation of the code and trellis decoding. Convolutional codes, trellis decoding of convolutional codes, performance of convolutional codes. Concatenated coding. Codes in the signal space. Multidimensional constellations, lattices, lattice partitions.    3) Laboratory activities. Use of Simulink and Matlab for simulation of digital transmisison systems.   4) Prerequisites Knowledge of Signal Theory: Fourier analysis, filtering, basics of digital signal processing.

 Note Sulla Modalità di valutazione
 Written examination based on the theory, oral examination based on the theory and on the laboratory. The laboratory part of the exam includes demonstration and discussion of the software written by the student.

 Bibliografia
 J. R. Barry, E. A. Lee, D. G. Messerschmitt, Digital Communication, third edition, Editore: Kluwer Academic Publishers, Anno edizione: 2004, ISBN: 0-7923-7548-3 Notes of the Lecturer https://beep.metid.polimi.it/

 Software utilizzato
 Nessun software richiesto

 Mix Forme Didattiche
Tipo Forma Didattica Ore didattiche
lezione
36.0
esercitazione
0.0
laboratorio informatico
18.0
laboratorio sperimentale
0.0
progetto
0.0
laboratorio di progetto
0.0

 Informazioni in lingua inglese a supporto dell'internazionalizzazione
 Insegnamento erogato in lingua Inglese Disponibilità di materiale didattico/slides in lingua inglese Disponibilità di libri di testo/bibliografia in lingua inglese Possibilità di sostenere l'esame in lingua inglese
 schedaincarico v. 1.8.3 / 1.8.3 Area Servizi ICT 01/03/2024