| Competences |
| Type A | Code | Competences Specific |
| CE10 | Capacity to design software, hardware and communications systems for use in telemedicine, including systems that used mobile devices. | |
| Type B | Code | Competences Transversal |
| Type C | Code | Competences Nuclear |
| Learning outcomes |
| Type A | Code | Learning outcomes |
| CE10 |
Understand the basic characteristics, parameters, measurements and units of communications systems. Understand the concept of the radioelectric spectrum and the assignation of frequencies in the most common 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. 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. | |
| Type B | Code | Learning outcomes |
| Type C | Code | Learning outcomes |
| Contents |
| 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. |
| Planning |
| 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 | ||||||
| Oral 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 |
| Personalized attention |
| Description |
| 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 |
| Assessment |
| Methodologies | Competences | Description | Weight | ||||
| Laboratory practicals |
|
Work done in the laboratory | 14.15 % | ||||
| Practical tests |
|
Exàmens individuals al laboratori | 14.15% | ||||
| Extended-answer tests |
|
Exàmens escrits corresponents als contiguts teòrics | 49.95 % | ||||
| Oral tests |
|
Exàmen oral corresponent als capítols 2 i 3 | 21.65 % | ||||
| Others |
| Other comments and second exam session | |||
|
With regard to the evaluation in the second call: there will be an exam consisting of three parts: a) probability and random signals, b) analog modulations theoretical part and c) analog modulations laboratory part weighted with the percentages of 40%, 30% and 30%. The overall grade for passing the subject is 5. |
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| Sources of information |
| 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
• Jay L. Devore, Probabilidad y Estadística para Ingeniería y Ciencias, , Cengage Learning |
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| Complementary | |||||||||
| Recommendations |
| Subjects that it is recommended to have taken before | ||||
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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.