The purpose of the course is for the student to acquire the following skills:



- Know and manage the fundamental concepts related to signals and systems.



- Know and apply methods of modeling and analysis of signals and systems in the temporal and frequency domain, both in continuous time and in discrete time.



- Know and handle continuous signal sampling techniques and signal reconstruction from their samples.



- Solve basic problems about signals and systems using the appropriate techniques.



- Being able to communicate knowledge, results and ideas related to the subject in writing through practice reports and solving problems proposed in class.

The theoretical contents of the subject are included in the following program:



1. Introduction to signals and systems:



Basic concepts.

Models in the temporal domain of systems.

Signals and systems in continuous time and in discrete time.



2. Signal transformation:



Fourier series and Fourier transforms.

The Laplace transform.

The Z-transform.

The transfer function.



3. Signal and system analysis:



Amplitude and phase spectra.

Energy and power signals.

Spectral density of energy and power.

Power calculation for periodic signals.

Integral of convolution.

Discrete convolution.

Time systems analysis continuous and discrete using the transfer function.

BIBO stability.



4.Sampling and Reconstruction:



Fourier transform of a sampled signal.

Reconstruction of signals from their samples.

Overlap and the Nyquist sampling theorem.

Ideal filter and ZOH.



5. Analysis of signals and systems in the frequency domain:



Frequency response using Fourier, Laplace and Z transforms.

Graphical interpretations of the frequency response function (Polar Representation and Bode Place).

Graphic construction of Bode diagrams (constants, poles and real zeros, and two poles and two complex zeros).



The practical contents consist of:



- Use of Scilab mathematical software for scientific calculation.



- Representation of continuous and discrete signals in both the time and frequency domains using Scilab.



- Analysis of signals in the frequency domain: representation of amplitude, phase, energy and power spectra of signals using Scilab.



- Analysis of systems in the frequency domain: representation of the Bode plot using Scilab.

- The master classes consist of the presentation by the teacher of the main contents of the course through the use of the blackboard, the projection of slides, the simulation of systems with the computer using Scilab, etc.



- Classroom practices consist of solving problems proposed in class in advance. Student participation is required to solve part of these problems either in person or virtually using the eGela platform. In this way it is intended to encourage communication between students and the teacher.



- The aim of the laboratory practices is for students to assimilate and apply the concepts presented in the lectures. These are simulation practices using Scilab, directed by the teacher and, mainly, are face-to-face for the student. In special cases, and with the consent of the teacher, the practices could be remote.



- The student must make use of the notes of the subject, the books proposed in the bibliography, as well as the problems and laboratory practices raised during the course to acquire the basic knowledge and skills for the subject.



- Information about the subject (notes, problems, presentations, practice scripts, etc.) will be available on the eGela server of the university.



- In classroom and laboratory practices, active methodologies are used for the training of students. Specifically, these classes are characterized by learning based on problems and cooperative projects, which entails a significant level of involvement and responsibility on the part of the students.



- It is interesting to take part in the activities organized by the Systems Engineering and Automation area. Among them, attend the presentations of work during the Days on Electronic Engineering that are held annually at the Faculty of Science and Technology.

- To pass the subject, the minimum mark in the written final exam must be 3.5 points out of 10.



- Carrying out practices and submitting reports is mandatory, so failure to carry them out means not passing the course.



- The practices are carried out in groups and each group has to deliver a practice report. In this way, group work is encouraged.



- Within the 30% of the qualification corresponding to the realization of practices, the collaboration of the student in solving problems in class is included.



- Students who for justified reasons provided for in the regulations must be examined by means of a final test will have a written final exam (70% of the grade) and a practical exam (the remaining 30%). To pass the subject, the minimum mark in the written final exam must be 3.5 points out of 10.



- Students can consult the notes of the subject (the theoretical part without including solved problems) during the written final exam. Likewise, the use of the calculator during said test is allowed.



- Evaluation criteria: Both in the theoretical exam and in the practical reports, the analysis of the results obtained will be especially valued.



- If the student does not attend to carry out the written final exam, it will be understood that he or she waives the call and will be graded with a "Not presented".

The material provided by the teacher at the beginning and during the course, both in the classroom and through the eGela platform.

Basic bibliography

* Introduction to signals and systems. Lindner, Douglas K. McGraw-Hill. 2002

* Signals and systems. Oppenheim, Alan V, Nawab, S. Hamid, Willsky, Alan S. Prentice-Hall Hispanoamericana. 1998.

In-depth bibliography

* Fundamentals of signals and systems: using the Web and MATLAB. Kamen, Edward W., Heck, Bonnie S. Pearson. 2007
* Signals and Systems: Analysis Using Transform Methods and MATLAB. Roberts, Michael J. McGraw-Hill. 2017
* Signals and Systems. Haykin, Simon and Veen, Barry Van. John Wiley & Sons, 2003.
* Continuous and discrete signals and systems. Soliman, Samir S, Srinath, M. D. Prentice Hall. 1998.