Portale di Ateneo - En.Unibs.it

Borrowed courses

RANDOM SIGNALS

INGEGNERIA ELETTRONICA E DELLE TELECOMUNICAZIONI

ELETTRONICA E STRUMENTAZIONE

Other Courses in the Curriculum

TELECOMUNICAZIONI

Course year: 1

INTRODUCTION TO BASIC MATTERS - MATHEMATICS

Student's own choice
COMPUTER SCIENCE
Attendance grouping
12 credits - Raggruppamento di frequenza
ALGEBRA AND GEOMETRY

9 credits - Basic
MATHEMATICAL ANALYSIS I (SECTION 1)

9 credits - Basic
BASIC CHEMISTRY

6 credits - Basic
EXPERIMENTAL PHYSICS 1 (MECH., TERM.)

9 credits - Basic
PROBABILITY AND STATISTICS

6 credits - Basic
TEST OF ENGLISH

3 credits - Language/Final Examination
TEST OF FRENCH

3 credits - Language/Final Examination
TEST OF GERMAN

3 credits - Language/Final Examination
TEST OF SPANISH

3 credits - Language/Final Examination

Course year: 2

BASIC CIRCUIT THEORY - STEADY STATE AND DYNAMIC ANALYSIS

9 credits - Related/Supplementary
COMMUNICATION NETWORKS
Attendance grouping
9 credits - Raggruppamento di frequenza
MATHEMATICAL ANALYSIS II

9 credits - Basic
OPERATING SYSTEMS

6 credits - Related/Supplementary
EXPERIMENTAL PHYSICS 1 (ELECTROMAG, OPTICS EM WAVES)

6 credits - Basic
FUNDAMENTALS OF SYSTEMS AND CONTROL

9 credits - Characterising
SIGNALS AND SYSTEMS

9 credits - Characterising
ADVANCED PROGRAMMING JAVA, C

9 credits - Student's own choice
ALGEBRA FOR CODING THEORY AND CRYPTOGRAPHY

6 credits - Student's own choice
COMPUTING INFRASTRUCTURES

6 credits - Student's own choice
ELEMENTS OF SOFTWARE DESIGN

6 credits - Student's own choice
INTRODUCTION TO DATABASES

6 credits - Student's own choice
OPERATIONS RESEARCH

6 credits - Student's own choice
PRINCIPLES OF BIOLOGY AND BIOMEDICINE
Attendance grouping
6 credits - Raggruppamento di frequenza - Student's own choice
RATIONAL MECHANICS

6 credits - Student's own choice

Course year: 3

FINAL THESIS

3 credits - Language/Final Examination
SIGNALS ANALYSIS WITH LABORATORY
Attendance grouping
12 credits - Raggruppamento di frequenza
ELECTROMAGNETIC FIELDS

9 credits - Characterising
ELECTRONIC FUNDAMENTALS

9 credits - Characterising
ELECTRONIC MEASUREMENTS

6 credits - Characterising
FUNDAMENTALS OF COMMUNICATION SYSTEMS
Attendance grouping
12 credits - Raggruppamento di frequenza
LEGISLATION AND REGULATION FOR TELECOMMUNICATIONS

6 credits - Characterising
SOFTWARE ENGINEERING

9 credits - Student's own choice
ADVANCED PROGRAMMING JAVA, C

9 credits - Student's own choice
ALGEBRA FOR CODING THEORY AND CRYPTOGRAPHY

6 credits - Student's own choice
APPLIED ANALYSIS
Attendance grouping
6 credits - Raggruppamento di frequenza - Student's own choice
BIOMEDICAL APPLICATIONS FOR HEALTH AND WEALTH

6 credits - Student's own choice
DIGITAL ELECTRONIC SYSTEMS

6 credits - Student's own choice
LOGIC NETWORKS AND PRINCIPLES OF DIGITAL ELECTRONICS

6 credits - Student's own choice
MODELS WITH DIFFUSION

3 credits - Student's own choice
SHOCK WAVES

3 credits - Student's own choice
STAGE

12 credits - Student's own choice
COMPLEMENTS OF DIGITAL ELECTRONICS AND MICROPROCESSORS

6 credits - Student's own choice
COMPUTING INFRASTRUCTURES

6 credits - Student's own choice
DIGITAL CONTROL SYSTEMS

6 credits - Student's own choice
ELEMENTS OF SOFTWARE DESIGN

6 credits - Student's own choice
INTRODUCTION TO DATABASES

6 credits - Student's own choice
OPERATIONS RESEARCH

6 credits - Student's own choice
PRINCIPLES OF BIOLOGY AND BIOMEDICINE
Attendance grouping
6 credits - Raggruppamento di frequenza - Student's own choice
RATIONAL MECHANICS

6 credits - Student's own choice
UNCERTAIN DYNAMICAL SYSTEMS

6 credits - Student's own choice

RANDOM SIGNALS

Single discipline educational activity

Course Sheet

Course code:

A000415

Academic Year of enrolment:

2017/2018

Academic Year of provision:

2019/2020

Degree:

Bachelor's Degree Programme in ELECTRONICS ENGINEERING

Disciplinary Sector:

Telecommunications

Language:

Italian

Grouping head:

SIGNALS ANALYSIS WITH LABORATORY

Grouping type:

Credits:

Programme Year:

Professor and Collaborators:

DALAI Marco Professor

Cycle:

First semester

Hours of classroom activity:

Hours of individual study:

Linear Algebra, Calculus I and II, Elements of probability and statistics, Signals & Systems.

Educational Goals

This course is designed for engineering students who have already a basic background in signals & systems, probability theory and statistics. It offers the theoretical foundations to information theory and communication theory. Stochastic signal representation and processing is addressed. The course describes the time-frequency characterization and processing of random processes. Operations such as quantization and modulation are outlined in detail.

Content

Random Signals describes the representation and analysis of waveforms using a stochastic framework. It introduces methods of stochastic characterization, also within the framework of time-frequency analysis. It studies the output of systems, which have been fed by random signals. A detailed treatment of Linear Shift-Invariant filtering, and Quantization is proposed in this context. It also introduces some basic schemes for analog modulation.

Extended Syllabus

See section "Other informations".

Recommended Bibliography

1. R. Leonardi, & P. Migliorati, Esercizi di Teoria dei Segnali, vol. 1, 360 pages, ISBN: 978-88-7488-401-8. Editor: Società Editrice Esculapio (Bologna, Italy), 3rd edition, Feb. 2011.
2. A. Papoulis. Probability, Random Variables and Stochastic Processes, Mc Graw-Hill.
3. C.M. Monti, & G. Pierobon. Esercitazioni di Teoria della Probabilità , vol. 1-3, Lib. Prog., Padova.
4. F. de Coulon, Signal Theory and Processing, Artech House.
5. S. Bellini. Elementi di Teoria dei Segnali, CLUP.
6. S. Haykin. Communication Systems, Wiley.
7. A.B. Carlson, Communication Systems, McGraw Hill.
8. N.S. Jayant & P. Noll, Digital Coding of Waveforms, Prentice-Hall.

Methods of Provision

Conventional

Teaching Methods

Individual work is complemented by roughly 30 hours of lectures and problem solving. Non mandatory lab work is also made available to facilitate the understanding of the course programme.

Assessment Methods

The final evaluation of the Random Signals course is determined through an oral exam. Prior to being admitted to the oral exam, the student must take a written test. During the semester, other types of continuous evaluation may take place through homework and/or lab activities, which may ease the final examination process.

Assessment:

Final Mark

Programme of Educational Activities

Start date of teaching period:

Monday, September 16, 2019

End date of teaching period:

Friday, December 20, 2019

Other Information

Lecturing and problem solving activities are taught in Italian.

EXTENDED PROGRAM
Introduction to stochastic processes [6/6]
Revision of probability theory: axiomatic definition, events, incompatibility, independence, conditional events, Total probability theorem, Bayes theorem. Random variables: pdf, distribution function, expectation (mean, variance). Join random variables: joint pdf, joint distribution, joint moments (correlation); independence of random variables; examples. Functions of random variables. Conditional random variables: conditional pdf, conditional expected values. Repeated trials. Law of large numbers. Poisson distribution. Central Limit Theorem.
Stochastic processes. Stationarity and ergodicity. Auto-correlation of a random process (definition and examples, periodogram method). Power spectral density of a random process. Wiener-Khintchine theorem. Sample processes and their statistical modelling (random phase sinusoid, gaussian, PAM, ...). Noise (white, colored, narrow-band...).

Complements of analog signal processing [4/4]
LTI filtering of random processes. Parametric systems. Non linear systems. Ideal transmission system. Harmonic and crossmodulation distortion measures. Non linear processing of a random process. Memoryless non linear processing of a random process. Sum and multiplication of random processes.

Fundamentals of analog modulation [2/2]
Amplitude modulation (AM, DSB, SSB, VSB). Coherent demodulation and envelop demodulation. Quadrature amplitude modulation. FDM. Frequency modulation systems. Modulated signal spectrum. Inter-symbol interference.

Digital representation of an analog signal [3/3]
Wrap-up on signal sampling; Quantization; quantization noise: statistical properties. Real A/D and D/A conversions; limit cycle of an A/D converter.

Examples of real systems.