Seminarios Avanzados de Investigación

Seminarios previstos para el curso 2016/2017.

Resumen de seminarios y fechas

Título

Fechas

Profesor

SEMESTRE DE OTOÑO

Sampling and Reconstruction of Sparse Signals
26-27 Sep Prof. Dr.-Ing. Volker Kühn (University of Rostock, Germany)
Video Coding
28-29 Sep Prof. Dr.-Ing. Henryk Richter (University of Rostock, Germany)
Optical Communications
6-7 Oct
Prof. Dr. Ing. Steffen Lochmann (Hochschule Wismar, Germany)
Mathematical methods for solving partial differential equations. Applications to engineering
25 Nov Prof. Dr. Juana Sendra (UPM), Prof. Dr. Alberto Lastra (U. Alcalá)
 Some recent problems on symbolic computation. Applications
  2 Dec
 Prof. Dr. Juana Sendra (UPM), Prof. Dr. Alberto Lastra (U. Alcalá)
An introduction to Maple software. Applications to engineering   16 Dec Prof. Dr. Juana Sendra (UPM), Prof. Dr. Alberto Lastra (U. Alcalá)
Writing in Engineering   22, 24, 29 Nov and 1 Dec Prof. Dr. Inmaculada Álvarez de Mon (UPM)
     
     

SEMESTRE DE PRIMAVERA

     
MIMO Mobile Radio Systems 21 - 23 March Prof. Dr.-Ing. Tobias Weber (University of Rostock, Germany)
Challenges in Wireless Communications 28 - 30 March Prof. Dr.-Ing. Andreas Ahrens (Hochschule Wismar, Germany)
Multicore Parallel Programming for Dummies (provisional) 8 - 12 May Prof. Dr. Karol Desnos (INSA Renns, France)
      Prof. Dr. Wassim Hamidouche (INSA Renns, France)
     
     
     
     

 

Semestre de otoño.


Sampling and Reconstruction of Sparse Signals

 

Speaker:

Prof. Dr-Ing. Volker Kühn (University of Rostock, Germany)

Content

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.

Language

English

Workload

1 ECTS

Registration

Master program secretary (A6104), Julia Barahona (actividades@etsist.upm.es)

Dates

26 and 27, September 2016

Timetable

14:30h-17:30h

Room

Aula Javier Hernández (A3005)

Additional information

Handouts


Video Coding

 

Speaker

Prof. Dr-Ing. Henryk Richter (University of Rostock, Germany)

Content

Contents:

  • Methods, techniques and algorithms for data compression

  • Video coding standards and their specifics

Language

English

Workload

1 ECTS

Registration

Master program secretary (A6104), Julia Barahona (actividades@etsist.upm.es)

Dates

28 and 29 September 2016

Timetable

14:30h-17:30h

Room

Aula Javier Hernández (A3005)

Additional information

Introduction Compression Fundamentals (part 1)

Introduction Compression Fundamentals (part 2)

Introduction Compression Fundamentals (part 3)
Video Compression Basics MPEG1-2-4 H263
H264
H265

 

 


Optical Communications

 

Speaker:

Prof. Dr. Ing. Steffen Lochmann (Hochschule Wismar, Germany)

Content

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

Language

English

Workload

1 ECTS

Registration

Master program secretary (A6104), Julia Barahona (actividades@etsist.upm.es)

Dates

6-7, October 2016

Timetable

14:30h-17:30h

Room

Sala de Grados (A3004)

Additional information

Poster

 

Mathematical methods for solving partial differential equations. Applications to engineering

 

Lecturers:

Prof. Dr. Juana Sendra (UPM), Prof. Dr. Alberto Lastra (U. Alcalá)

Content

Basic concepts on Partial Differential Equations. Introduction to some significant equations appearing in engineering problems. Methods and applications.

This is an introductory course on widely spread mathematical methods and techniques applied on solving partial differential equations appearing in diverse problems in engineering. We give some more details on methods applied to wave equation and heat equation which might be applied to other problems.

 

Language

English

Workload

1 ECTS

Registration

Master program secretary (A6104), Julia Barahona (actividades@etsist.upm.es)

Dates

November 2016, 25thTimetable

 

15:30h-19:30h

Room

Sala de Grados (A3004), Mathematics  Lab

Additional information

Poster

 

Some recent problems on symbolic computation. Applications

 

Lecturers:

Prof. Dr. Juana Sendra (UPM), Prof. Dr. Alberto Lastra (U. Alcalá)

Content

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.

Language

English

Workload

1 ECTS

Registration

Master program secretary (A6104), Julia Barahona (actividades@etsist.upm.es)

Dates

December 2016, 2nd

Timetable

15:30h-19:30h

Room

Sala de Grados (A3004), Mathematics  Lab

Additional information

Poster

 

An introduction to Maple software. Applications to engineering

 

Lecturers:

Prof. Dr. Juana Sendra (UPM), Prof. Dr. Alberto Lastra (U. Alcalá)

Content

The course aims to provide introductory concepts on the use of Maple software, widely used in engineering research. This powerful environment allows the user to achieve symbolic computations in order to obtain mathematical results to apply to a concrete problem. We will also describe some applications of this tool to engineering problems such as the solution to ordinary differential equations, partial differential equations, etc.

Language

English

Workload

1 ECTS

Registration

Master program secretary (A6104), Julia Barahona (actividades@etsist.upm.es)

Dates

December 2016, 16th

Timetable

15:30h-19:30h

Room

Sala de Grados (A3004), Mathematics  Lab

Additional information

Poster

 

 


Writing in Engineering


 

Speaker

   Prof. Dr. Inmaculada Álvarez de Mon y Rego

 

Content

 

1 Introduction. Key concepts in writing. Essentials for writing in engineering.

2: Quality in writing: what makes a text a good text. Improving the quality of sentences and paragraphs.

3: The research article. The abstract, the introduction and the conclusion. Avoiding plagiarism. References.

4: Raising error awareness.  Editing the paper. 

 

 

Language

 

English

 

Workload

 

1 ECTS

 

Registration

 

Master program secretary (A6104), Julia Barahona (actividades@etsist.upm.es)

 

Dates

 

22, 24, 29 November and 1 December 2016

 

Timetable

 

15:30-17:30h

 

Room

 

A 3002

Additional information

 Poster

 

 

Semestre de primavera.

 

MIMO Mobile Radio Systems

 

Speaker: Prof. Dr. Tobias Weber (University of Rostock)

 

Content

Lesson 1: Modelling of MIMO systems. (Tuesday 21th 15:30h)

 

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. (Wednesday 22th at 15:30h)

 

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. (Thursday 23th at 15:30h)

 

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.

Lannguage

English

Workload

1 ECTS

Registration

Secretaría de Programa Máster (6104), Julia Barahona (actividades@etsist.upm.es)

Dates

21, 22 and 23 March 2017

Timetable

15:30-17:30h

Room

Salón de Grados (A3004)

Additional information

Poster

IntraNet Plan Anual Docente Moodle UPM Directorio Personal Correo Personal Correo Personal Politécnica Virtual

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