Checking date: 02/04/2019

Course: 2019/2020

Signal Processing in Communications
Study: Master in Advanced Communications Technologies (278)

Coordinating teacher: RAMIREZ GARCIA, DAVID

Department assigned to the subject: Department of Signal and Communications Theory

Type: Electives
ECTS Credits: 6.0 ECTS


Students are expected to have completed
Those subjects required for the admission to the Master.
Competences and skills that will be acquired and learning results.
Students must possess the learning skills to enable them to continue studying in a way that will be largely self-directed or autonomous. Systematic understanding of a field of study and mastery of the skills and methods of field. Ability to perform critical analysis, evaluation and synthesis of new and complex ideas research associated with that. Being able to make a critical analysis of technical and scientific documents in the field of Signal Processing and Communications. Ability to apply knowledge of mathematics, statistics and science to the problems of Signal Processing and Communications. Possessing the skills to design and conduct experiments and analyze and interpret data. Handle with ease and critically fundamental design concepts of digital communication systems and their subsystems (capacity, source and channel coding, conditional entropy, multipulse, OFDM, spread spectrum, synchronization, equalization and channel estimation, diversity, spectral efficiency , LTE, adaptive load as QoS, algebraic coding, block and convolutional codes, concatenated coding and LDPC iterative decoding, ergodic capacity, active antennas, antenna arrays, broadband antennas, diplexers, filters, amplifiers, oscillators and mixers) able to analyze the performance of these systems and to make design decisions and implementation - Acquire ability to design and analyze signal processing algorithms that made ¿¿the main functions of a digital receiver (synchronization, estimation / channel equalization, detection, decoding). - Acquire ability to design and analyze complex communications systems that combine various kinds of signal processing algorithms.
Description of contents: programme
Chapter 1: Introduction Chapter 2: Introduction to MIMO Systems 2.1: Fading 2.2: Capacity limits of MIMO systems 2.3: Diversity-multiplexing trade-off Chapter 3: Review of detection and estimation 3.1: Estimation: LS, LMMSE, MMSE 3.2: Detection: Neyman-Pearson lemma, GLRT, UMPIT, LMPIT Chapter 4: MIMO systems with spatial multiplexing 4.1: Detection in V-BLAST systems 4.2: Suboptimal detectors 4.3: Sphere decoding Chapter 5: MIMO systems with space-time block coding 5.1: Design of space-time block codes (STBC) 5.2: Signal model for STBC 5.3: Orthogonal STBC (OSTBC) 5.4: Quasi-orthogonal STBC (QSTBC) Chapter 6: Cognitive radio 6.1: Introduction 6.2: Spectrum sensing 6.3: Extensions: multiantenna and cooperative detectors
Learning activities and methodology
No collective consultation hours planned.
Assessment System
  • % end-of-term-examination 0
  • % of continuous assessment (assigments, laboratory, practicals...) 100
Basic Bibliography
  • Andrea Goldsmith. Wireless communications. Cambridge University Press. 2005
  • Arogyaswami Paulraj, Rohit Nabar, and Dhananjay Gore. Introduction to Space-Time Wireless Communications. Cambridge University Press. 2008
  • Erik G. Larsson and Petre Stoica. Space-Time Block Coding for Wireless Communications. Cambridge University Press. 2008
  • Mohinder Jankiraman. Space-time codes and MIMO systems . Artech House. 2004
  • Thomas M Cover and Joy A Thomas. Element of Information Theory. John Wiley & Sons. 2006

The course syllabus and the academic weekly planning may change due academic events or other reasons.