Teaching at UC3M

Introduction to Graphical Models and Inference for Communications

Teaching material used for the course Advanced Communications which is offered within the Master in Multimedia & Communications at University Carlos III in Madrid (Spain).

The introduction to graphical models and inference for communications is structured in eight lessons:

Introduction to Graphical Models and Inference for Communications
Exact Inference in Discrete cycle-free Factor Graphs. Belief Propagation.
Inference Discrete Factor Graphs with cycles. Loopy Belief Progataion.
Gaussian message passing.
The max-product algorithm.
LDPC codes over the Binary Erasure Channel.
LDPC codes over general channels.
Turbo-codes.

We provide the LaTeX source code for the slides used in the 9 lectures of the course. We have moved all files to this public Github repository.

Systems and Circuits

Teaching material used for the course Systems and Circuits in first year undegraduate of Telecomunication Engineering at University Carlos III in Madrid (Spain). The objectives of the course are 1) to introduce the basic concepts of signals and systems with an emphasis on their use in communication, and 2) as particularization of the above, to introduce the basic concepts of electric circuit analysis.

We provide the LaTeX source code for the slides used in the 12 lectures of the course:

Signals and basic operations
Periodicity, Energy and Power
Basic Signals: impulse, the unit step, and the complex exponential signal
Resistive Circuits and Kirchoff Laws
Techniques of Circuit Analysis
Techniques of Circuit Analysis (II): the Thévenin equivalnet
Introduction to Systems
LTI systems and the convolution operation
Properties of LTI Systems
Capacitance & Inductance
RC, RL and RLC circuits
Sinosuidal Steady-State Analysis

This material has been created by

Pablo Martínez Olmos (olmos@tsc.uc3m.es)
Emilio Parrado Hernández (emipar@tsc.uc3m.es)

We have moved all files to this public Github repository.