Seminarios curso 2017-2018
Learning activities: seminars
Semestre de Otoño
- Video Coding
- Sampling and reconstruction of Sparse Signals
- Optical communications
- Retos y soluciones en Medidas de Dispositivos IoT
- An introduction to Maple software. Applications to engineering
- Writing in Engineering
Semestre de Primavera
- Mathematical methods for solving partial differential equations. Applications to engineering
- MIMO Mobile Radio Systems
- Some recent problems on symbolic computation. Applications
- Challenges in Wireless Communications
- Fundamentos de Medida en Dispositivos de RF/MW
- UAV Communications and Air-Ground Channels
Semestre de Otoño
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Speaker |
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Prof. Dr-Ing. Henryk Richter (University of Rostock, Germany) |
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Content |
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Contents:
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Language |
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English |
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Workload |
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1 ECTS |
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Registration |
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Master program secretary (A6104), Julia Barahona (actividades@etsist.upm.es) |
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Dates |
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25 and 26 September 2017 |
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Timetable |
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14:30-17:30h |
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Room |
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Sala de Grados (Room A3004) |
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Additional information |
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Introduction Compression Fundamentals (part 1) Introduction Compression Fundamentals (part 2) Introduction Compression Fundamentals (part 3)
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Speaker: |
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Prof. Dr-Ing. Volker Kühn (University of Rostock, Germany) |
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Content |
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In the last two decades the pervasion of our daily life by communication and multimedia devices like smart phones, digital cameras or MP3 players grows at increasing speed. The basic foundation of all devices is digital signal processing, especially the representation of analog signals by bits and bytes. In order to keep storage and data rate requirements at a moderate level, compression is an inevitable part of digital systems. It removes redundant parts from the signal and represents these signals with as few bits as possible. Thereby, lossy and lossless compression are distinguished. We call compressible signals as being sparse.
Conventional strategies first sample the analog signal at high rate according to Shannon's famous sampling theorem and compress it afterwards. This provokes the question why the sampling process itself cannot directly perform the compression in order to avoid costly sampling at high rate. In order to answer this question, the lectures will give an overview of state-of-the-art sampling techniques and will focus on two different approaches.
The first part will introduce a technique called 'Compressed Sensing' allowing to compress sparse signals in a very efficient way. After discussing some toy examples to illustrate the underlying problem, the compression and its fundamental properties are introduced. Next, the reconstruction step is explained for one simple exemplary algorithm, the Orthogonal Matching Pursuit (OMP) algorithm.
In the second part, Shannon's famous sampling theorem will be revisited first. Next, the class of analog Finite Rate of Innovation (FRI) signals will be introduced which can be sampled at rates much lower than stated by Shannon. For reconstruction, the annihilating filter as one example of spectral estimation algorithms will be presented. Finally, this approach is applied to Particle Image Velocimetry as one possible example. |
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Language |
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English |
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Workload |
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1 ECTS |
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Registration |
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Master program secretary (A6104), Julia Barahona (actividades@etsist.upm.es) |
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Dates |
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27 and 28, September 2017 |
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Timetable |
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14:30-17:30h |
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Room |
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Sala de Grados (Room A3004) |
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Additional information |
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Speaker: |
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Prof. Dr. Ing. Steffen Lochmann (Hochschule Wismar, Germany) |
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Content |
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Part 1: Fundamentals of optical Fibre Transmission Part 2: Beam Propagation Method (BPM): a versatile CAD-Toll for simulations optical components Part 3: With high speed optical fibre networks and slow light into the photonic century |
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Language |
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English |
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Workload |
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1 ECTS |
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Registration |
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Master program secretary (A6104), Julia Barahona (actividades@etsist.upm.es) |
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Dates |
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19 and 20, October 2017 |
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Timetable |
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14:30-17:30h |
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Room |
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Sala de Grados (A3004) |
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Additional information |
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Speaker: |
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(Keysight) |
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Content |
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Tema 1: Diseño y Simulación. Tema 2: Análisis de consumo de batería. Tema 3: Herramientas de integridad de señal (SI) e Integridad de Potencia (PI) Tema 4: Soluciones Wireless: foco en comunicaciones y EMI/EMC |
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Language |
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Workload |
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1 ECTS |
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Registration |
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Master program secretary (A6104), Julia Barahona (actividades@etsist.upm.es) |
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Dates |
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26 October 2017 |
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Timetable |
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9:00 - 14:30 |
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Room |
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Sala 2.1 Edificio Arboleda |
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Additional information |
Semestre de Primavera
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Lecturer: |
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Prof. Dr. Tobias Weber (University of Rostock) |
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Content |
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Lesson 1: Modelling of MIMO systems.
In the first part of the lecture after a short introduction the modeling of MIMO systems will be introduced. The main topic of the first part of the lecture is the introduction of the information theoretical basics of MIMO systems. MIMO capacity and key techniques, i.e., waterfilling and singular value decomposition will be discussed.
Lesson 2: MIMO channel modelling.
The second part of the lecture gives an overview of MIMO channel modeling. Both more realistic geometrical and statistical channel models will be introduced.
Lesson 3: Practical MIMO system.
In the third part of the lecture a bunch of practical MIMO system concepts will be discussed. The lecture will close with a short overview of diversity techniques and space time coding. |
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Language |
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English |
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Workload |
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1 ECTS |
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Registration |
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Master program secretary (A6104), Julia Barahona (actividades@etsist.upm.es) |
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Dates |
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27, 28 February and 1 March 2018 |
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Timetable |
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15:30-17:30h |
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Room |
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Salón de Grados (A3004) |
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Additional information |
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Lecturers: |
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Prof. Dr. Juana Sendra (UPM), Prof. Dr. Alberto Lastra (U. Alcalá) |
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Content |
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The course aims to provide introductory concepts, results, and algorithms on symbolic computation and its applications to some specific problems related to cryptography, systems of equations, differential equations, partial differential equations, etc. The basic idea of the course is to learn the new and powerful algorithms in symbolic computation and illustrate them by applications. Theoretical results will be applied to specific problems with Maple software. |
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Language |
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English |
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Workload |
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1 ECTS |
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Registration |
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Master program secretary (A6104), Julia Barahona (actividades@etsist.upm.es) |
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Dates |
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8 and 15 March 2018 |
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Timetable |
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15:30h-18:30h |
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Room |
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Sala de Grados (A3004), Mathematics Lab |
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Additional information |
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Speaker: |
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Prof. Dr. Ing. Andreas Ahrens (Hochschule Wismar, Germany) |
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Content |
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Part 1: Introduction an Principles of Digital Communications. Part 2: Diversity. Part 3: Data Transmission over Time-Dispersive Transmission Channels. Part 4: Trends and Developments. |
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Lannguage |
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English |
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Workload |
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1 ECTS |
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Registration |
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Master program secretary (A6104), Julia Barahona (actividades@etsist.upm.es) |
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Dates |
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4 April 2018 |
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Timetable |
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15:30-18:30h |
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Room |
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Sala de Grados (A3004) |
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Additional information |
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Speaker |
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Keysight |
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Content |
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1. Introducción. 2. Fundamentos de Análisis de Espectro. 3. Fundamentos de Análisis Vectorial de Señal. 4. Fundamentos de Medida de Potencia en RF. 5. Fundamentos de Análisis Vectorial de Redes.ge |
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Spanish |
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Workload |
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1 ECTS |
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Registration |
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Master program secretary (A6104), Julia Barahona (actividades@etsist.upm.es) |
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Dates |
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10 May 2018 |
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Timetable |
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09:00 - 13:30h |
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Room |
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Aula Magna Javier Hernández (A3005) |
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Additional information |
