Type A
|
Code |
Competences Specific | | RT4 |
Have the ability to analyse and specify the fundamental parameters of a communications system.
|
| RT5 |
Have the ability to assess the advantages and disadvantages of different technological alternatives for the deployment or implementation of communications systems from the perspective of signal space, perturbations, noise and analogue and digital modulation systems.
|
| ST5 |
Ability to select transmission antennas, equipment and systems, to propagate guided and non-guided waves by electromagnetic, radiofrequency or optical means, and to manage the assignation of frequencies.
|
Type B
|
Code |
Competences Transversal |
Type C
|
Code |
Competences Nuclear |
Type A
|
Code |
Learning outcomes |
| RT4 |
Understand the basic characteristics, parameters, measurements and units of communications systems
Understand the concepts of probability distribution function and probability density function
Understand the most frequently used probability distribution functions in telecommunications
Understand the concept of conditional probability
| | RT5 |
Understand the concept of noise and noise sources in communication systems
Understand the concepts of cross-correlation and adaptive filters
Understand the concepts of modulation and bandpass signals and their spectra
| | ST5 |
Understand the concept of the radioelectric spectrum and the assignation of frequencies in the most common systems
|
Type B
|
Code |
Learning outcomes |
Type C
|
Code |
Learning outcomes |
Topic |
Sub-topic |
1. Introduction to communications |
1.1. Definition of a electronic communication system: transmitter, channel and receiver.
1.2. History communications.
1.3 Classification of communication systems.
1.4 Quality parameters and resources of a telecommunication system:
1.4.1 undesired signals: noise and distortion (concepts).
1.4.2. Fidelity respect to the received signal sent.
1.4.3. Concept of BER and SNR.
1.4.4. Resources available: transmitted power and bandwidth.
1.5. Types of channels: guided and unguided The radio spectrum.
1.6. Pas band signal: definition, representation and frequency phasor. |
2. Probability.
|
2.1 Finite probability space. Conditional probability. Independence of events. Bayes' theorem.
2.2. Random variables. Distribution function. Probability density function. Functions of random variables.
2.3. Centralization and dispersion. Moments. Media, mode and variance. Theorem hope.
2.4. Hope sum and product. Independence incorrelació and orthogonal |
3. Random Signals |
3.1. Random signals and stochastic processes. Ergodic process.
3.2. Scalar product of two random ergodic signals. Correlation.
3.3. Autocorrelation function. Properties. Incoherent signals.
3.4. Power spectral density. Sinusoid with random phase. Random phase modulation at the carrier.
3.5. Noise in Communications Systems
3.5.1 Definitions, types of noise, thermal noise, white and filtering.
3.5.2 Statistical characterization of thermal noise,
3.5.3 Spectral Characterization of thermal noise:
Noise power spectral density
Bandwidth of noise,
Signal - noise
3.6.Transmisión of random signals through linear filters. Average value at the output. |
4. Linear analog modulations |
4.1 Amplitude Modulation (AM)
- Definition
- Representation in the time and frequency domain
- Schemes modulators and demodulator AM
- Noise in a AM system
4.2. Other linear modulation schemes:
- Double sideband (DBL)
- Single sideband (SSB)
- Vestigial sideband (BLV) |
5. Angular analog modulations |
5.1 Frequency Modulation (FM)
- Definition
- Representation of a FM modulated tone in the time domain and frequency: Bessel functions.
- Schemes Modulators and FM demodulator
- Noise in an FM system
5.2 Phase Modulation (PM)
- Definition
- Comparison with AM modulation. |
Methodologies :: Tests |
|
Competences |
(*) Class hours
|
Hours outside the classroom
|
(**) Total hours |
Introductory activities |
|
1 |
1 |
2 |
Problem solving, exercises in the classroom |
|
14 |
30 |
44 |
Laboratory practicals |
|
14 |
19 |
33 |
Lecture |
|
22 |
25 |
47 |
Personal attention |
|
2 |
1 |
3 |
|
Practical tests |
|
2 |
4 |
6 |
Extended-answer tests |
|
3 |
6 |
9 |
Extended-answer tests |
|
2 |
4 |
6 |
|
(*) On e-learning, hours of virtual attendance of the teacher. (**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies
|
Description |
Introductory activities |
El primer dia de classe es farà una introducció al funcionament de la assignatura, detallant el temari, les pràctiques, la avaluació i la literatura. |
Problem solving, exercises in the classroom |
Per a cada tema es proposaran una sèrie d'exercicis que l'alumne haurà de intentar solucionar abans de que siguin resolts a clase. Cada sessió de problemes exigirà que algun alumne surti a resoldre el enunciat i s'anunciarà prèviament quins exercicis es faran i resoldran a clase. |
Laboratory practicals |
Cada pràctica de laboratori constarà de un estudi previ, que el alumne haurà de presentar per poguer fer la pràctica (en cas contrari no la farà i no es puntuarà).
La pràctica s'haurà de completar en el temps assignat a clase i al final s'haurà de fer un informe que el professor corregirà.
|
Lecture |
Cada capítol del temari serà presentat a classe en forma de diapositives powerpoint que estaran disponibles per ser baixades abans de la clase. Les clases magistrals seran sobre teoria, problemes i pràctiques. L'alumne podrà preguntar en qualsevol moment al professor i aquest interromprà la exposició per respondre qualsevol dubte. |
Personal attention |
La atenció als alumnes es farà de forma conjunta i/o personalitzada. Es prefereix donar resposta als dubtes de forma conjunta ja que ajuda a que la classe sigui mes interactiva i que altres alumnes que no s'atreveixen a preguntar rebin les mateixes respostes. Tot i així es preveuen 6 hores fixes per consultes individualitzades al despatx del professor (s'anunciaran el primer dia de clase). A banda de les hores establertes, l'alumne podrà intentar contactar amb el professor a qualsevol hora d'oficina i, si esta disponible, resoldre els seus dubtes de pràctiques o de problemes o de teoria |
Description |
The attention to the students will be done jointly and / or personalized. It is preferred to answer doubts jointly as it helps the class to be more interactive and that other students who do not dare to ask receive the same answers. Even so, 6 fixed hours are planned for individualized consultations in the teacher's office (will be announced on the first day of class). Apart from the established hours, the student may try to contact the teacher at any time in the office and, if available, resolve their doubts about practices or problems or theory |
Methodologies |
Competences
|
Description |
Weight |
|
|
|
|
Laboratory practicals |
|
Work done in the laboratory |
5% |
Practical tests |
|
Individual test at lab |
7,5% |
Extended-answer tests |
|
Relative to the part of random variables and stochastic processes composed by two individual tests |
50% |
Extended-answer tests |
|
Relating to the part of analog modulations |
37,5% |
Others |
|
|
|
|
Other comments and second exam session |
General
considerations pertaining to the two calls: - Attendance to laboratory practices is
mandatory. - To receive a (numeric) mark other than not
presented (NP), all extended-answer tests must be completed. - The use of mobile devices of type: tablets,
smartphones, computers, etc. is not allowed. Evaluation (1st call): - In the first call, the parts of: a) random variables and stochastic
processes and b) analog modulations must be passed with a minimum mark of 5,
separately. Evaluation (2nd call): - The topics approved (a or b) in the first call
are kept. - Two exams will be performed: 1) random
variables and stochastic processes and 2) analog modulations, theoretical part. - The laboratory mark will be
the same as that obtained in the first call.
-
Automatic
passing of the subject is obtained from the arithmetic mean equal to or greater
than 5 for each part, provided that the minimum mark in each of the exams 1)
and 2) taken during the second call is 4. |
Basic |
• Leon W. Couch II, Sistemas de comunicación digitales y analógicos, , Pearson Educación
Bruce Carlson, , Communication systems. An introduction to signals and noise in Electrical Communication, , Mc Graw Hill
Roy D. Yates, Probability and Stochastic Processes, , JOHN WILEY & SONS, INC.
• Jay L. Devore, Probabilidad y Estadística para Ingeniería y Ciencias, , Cengage Learning
|
|
Complementary |
|
|
Subjects that continue the syllabus |
DIGITAL COMMUNICATIONS/17244112 | DIGITAL SIGNAL PROCESSING/17244113 | EMITTERS AND RECEIVERS/17244116 | ANTENNAS AND RADIO PROPAGATION/17244119 |
|
Subjects that are recommended to be taken simultaneously |
TELECOMMUNICATIONS LABORATORY/17244109 | WAVE TRANSMISSION AND PROPAGATION/17244110 |
|
Subjects that it is recommended to have taken before |
MATHEMATICAL ANALYSIS I/17244005 | MATHEMATICAL ANALYSIS II/17244006 | ANALYSIS OF CIRCUITS AND LINEAR SYSTEMS/17244009 | FUNDAMENTALS OF COMMUNICATIONS I/17244103 |
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(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation. |
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