Degree in Computer Engineering

Study Computer Engineering at La Salle and become a professional with the abilities to work with the latest technologies and new products, designing, implementing and maintaining computer systems for any sector of economic activity

Signals and Transmission Systems

Every graduate in Engineering must have a knowledge and mastery of the fundamental principles on which disciplines such as analog and digital communications, signal and image processing, or acoustics are based, among others. The objective of the subject is to give an introductory and fundamental vision of the mathematical tools that allow analyzing analog and digital signals, converting from the analog to digital world, modeling and representing signal processing systems, or transmitting signals either baseband or modulated, and either in its digital or analog version. It is a subject, therefore, with a clear mathematical orientation but with a fundamental real and practical application in the field of engineering. For this reason, during each semester a practical frame of reference will be used where the contents presented throughout all the topics will be contextualized, and that will facilitate the understanding of them by the students.
Type Subject

Titular Professors

Previous Knowledge

Integral calculus and imaginary numbers.


The Learning Outcomes of this subject are:
LO.1 General knowledge of signal processing and transmission
LO.2 Problem solving
LO.3 Capacity for analysis and synthesis


Semester 1
1. Representation of sinusoidal signals
2. Fourier series
3. Fourier transform
4. Unit impulse function
5. The convolution
6. Invariant linear systems
7. Digitization

Semester 2 (Telecommunications Systems, Telematics, Audiovisual Systems, Electronic Telecommunications Systems)
1. Baseband transmission: motivation and characteristics
2. Analog modulations
3. Digital modulations
4. Random variable and stochastic process
5. Transmission limitations

Semester 2 (Multimedia, ICT Management)
1. Applications of signal processing
2. Source codes
3. Analog and digital modulations
4. Transmission limitations


The course is taught in 2 or 3 teaching sessions each week, totaling 150 minutes per week.

The usual dynamics of each class will consist of a combination of theoretical explanations, usually followed by the performance of exercises that exemplify what has just been explained. Applied methodologies: master class (MD0), problem class and exercises (MD1).

In addition, sessions will be dedicated to the contextualization of the contents in a practical framework (SalleTone and SalleRadio) and to the realization of demonstrations, analysis and visualizations of theoretical concepts using scripts and Matlab functions developed by the teachers with this aim. Applied methodologies: self-paced learning (MD5) and case method (MD13).


See the electronic folder of the subject

Evaluation Criteria

See the electronic folder of the subject

Basic Bibliography

Material available in the eStudy:

• Class slides.
• Collection of solved exercises.
• G. Nicolau, "Fourier Analysis".

Reference books (available at the La Salle Library):

• A.V. Oppenheim, A.S. Willsky, Signals and Systems, Prentice Hall, 1998
• A.B. Carlson, Communication Systems, McGraw-Hill, 1988

Additional Material

Collection of solved exams, Enginyeria i Arquitectura La Salle.
F. Tarrés, `Introducció al Tractament Digital del Senyal´, Bruño/EUETT, 1995.
Papoulis, `Sistemas analógicos y digitales´, Ed. Marcombo, 1978.
A.V. Oppenheim, `Digital Signal processing´, Ed. Prentice-Hall.
J.C. Proakis, D.G. Manolakis, `Introduction to digital signal processing´, Ed. McGraw-Hill, 1975.