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Foundations of Signals and Systems

Code: 102690
Credits: 6
2026/2027
Degree programme Type Course
Electronic Engineering for Telecommunications FB 1
Telecommunication Systems Engineering FB 1

Contact lecturer

Name :
Rosana Rodriguez Martinez
Email :
rosana.rodriguez@uab.cat

Teaching staff

Edèn Corrales Lopez
Javier Martin Martinez
Ivan Pisa Dacosta

Group languages

You can consult this information at the end of the document.

Prerequisites

The student must have an adequate level of calculus (real and complex variable functions, complex numbers, differentiation and integration) and basic circuit theory (Kirchhoff laws, Thévenin-Norton equivalents, superposition principle, voltage-current laws of elementary devices and basic circuital analysis).

Objectives

  • Introduce the student to the analysis and characterization of signals and systems, with emphasis on linear systems.
  • Learn the Laplace transform and its properties.
  • Learn how to apply the Laplace transform to circuit analysis.
  • Learn and apply the concept of transfer function of an LTI system.
  • Learn how to obtain the Bode diagram of a system.
  • Learn the Fourier transform and its properties.
  • Learn how to apply the Fourier transform to periodic signals (Fourier series) and the limitation in time (windowing) and frequency (Gibbs phenomenon).

Learning outcomes

Electronic Engineering for Telecommunications
  • CU099 (Evaluate the advantages and disadvantages of different technological alternatives to roll out or implement communication systems from the standpoint of signal space, disturbances and noise and analogue and digital modulation systems.) Evaluate the advantages and disadvantages of different technological alternatives to roll out or implement communication systems from the standpoint of signal space, disturbances and noise and analogue and digital modulation systems.
  • KU109 (Interpret the basic properties of analog and digital modulation systems.) Interpret the basic properties of analog and digital modulation systems.
  • KU110 (Identify the different types of analogue and digital information modulation mechanisms.) Identify the different types of analogue and digital information modulation mechanisms.
  • KU111 (Estimate the effects of analogue and digital signal filtering.) Estimate the effects of analogue and digital signal filtering.
  • KU112 (Describe the fundamental functional parameters of a communication system.) Describe the fundamental functional parameters of a communication system.
  • SU116 (Apply the basic concepts of linear systems and related functions and transforms to analyze and solve problems in the field of engineering.) Apply the basic concepts of linear systems and related functions and transforms to analyze and solve problems in the field of engineering.
  • SU117 (Analyse analogue and digital signal processing schemes, paying specific attention to those related to communications systems.) Analyse analogue and digital signal processing schemes, paying specific attention to those related to communications systems.
Telecommunication Systems Engineering
  • CU099 (Evaluate the advantages and disadvantages of different technological alternatives to roll out or implement communication systems from the standpoint of signal space, disturbances and noise and analogue and digital modulation systems.) Evaluate the advantages and disadvantages of different technological alternatives to roll out or implement communication systems from the standpoint of signal space, disturbances and noise and analogue and digital modulation systems.
  • KU109 (Interpret the basic properties of analog and digital modulation systems.) Interpret the basic properties of analog and digital modulation systems.
  • KU110 (Identify the different types of analogue and digital information modulation mechanisms.) Identify the different types of analogue and digital information modulation mechanisms.
  • KU111 (Estimate the effects of analogue and digital signal filtering.) Estimate the effects of analogue and digital signal filtering.
  • KU112 (Describe the fundamental functional parameters of a communication system.) Describe the fundamental functional parameters of a communication system.
  • SU116 (Apply the basic concepts of linear systems and related functions and transforms to analyze and solve problems in the field of engineering.) Apply the basic concepts of linear systems and related functions and transforms to analyze and solve problems in the field of engineering.
  • SU117 (Analyse analogue and digital signal processing schemes, paying specific attention to those related to communications systems.) Analyse analogue and digital signal processing schemes, paying specific attention to those related to communications systems.

Contents


  1. Introduction to the subject. Signals and systems.


    1. Signals. Independent variable transforms and basic signals.

    2. System properties: linearity, invariance, causality and stability.

    3. Linear and time invariant systems (LTI). Convolution equation.


 



  1. The Fourier transform.


    1. Definition of the Fourier transform.

    2. Transform of basic signals.

    3. Properties of the Fourier transform.

    4. Limitation in frequency (Gibbs phenomenon) and limitation in time (windowing).

    5. Fourier transform of periodic signals. The Fourier series.


 



  1. The Laplace transform.


    1. Laplace transform. Definition. Properties.

    2. Solution of differential equations using the Laplace transform.

    3. Obtaining the inverse Laplace transform.


 



  1. Applications of the Laplace transform.


    1. Analysis of circuits with capacitors and inductors.

    2. Transfer function of a system. Definition and obtention of the impulse response.

    3. Pole and zero diagrams and system stability.

    4. Permanent response of a system. Bode diagrams.

Learning activities and methodology

Title Hours ECTS Learning outcomes
On-line problems solving 10 0.4 SU116
Problem solving 15 0.6 CU099, KU109, KU110, KU111, KU112, SU116, SU117
Summary lessons 10 0.4 CU099, KU109, KU110, KU111, KU112, SU116, SU117
Autonomous work 75 3 CU099, KU109, KU110, KU111, KU112, SU116, SU117
Master class 20 0.8 CU099, KU109, KU110, KU111, KU112, SU116

The course consists of:

  • Master classes where the teacher explains the basic concepts of the subject.
  • Problem solving classes where the teacher solves problems on the blackboard.
  • Guided problem classes, where the students solve the problems and the teacher supervises and solves doubts.
  • Troubleshooting.
  • The communication tool with the students will be the UAB Virtual Campus: https://cv.uab.cat.

Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.

Annotation: within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.

Assessment

Continuous assessment activities

Title Weight Hours ECTS Learning outcomes
Written exam chapter 3 and 4 (P2) 45% 3 0.12 CU099, KU109, KU110, KU111, KU112, SU116
problems solving 1 (Pol1r) 5% 5 0.2 SU116
Recuperation exam chapters 1-4 (Pr1, Pr2) 90% 4 0.16 CU099, KU109, KU110, KU111, KU112, SU116, SU117
Written exam chapter 1 (P1) 45% 3 0.12 CU099, KU109, KU110, KU111, KU112, SU116, SU117
problems solving 2 (Pol2r) 5% 5 0.2 SU116

The subject is assessed according to 2 different types of assessment:

• 2 written tests (P1 and P2) of topics 1 and 2 (P1) and topics 3 and 4 (P2) with a weight of 90% (P1 and P2 each have a weight of 30%). This part can be recoverable in the final exam.

• Problem solving with a weight of 10% and non-recoverable.

The final mark (NF) of the subject, as long as the marks P1, P2 are equal to or higher than 2.0 points, is calculated as:

NF = (P1 + P2) * (9/20) + (Pol1r + Pol2r) * (1 / 20)

If any of the grades P1, P2 are <2 and it is true that 5 >NF >=3.5, then NF=3.5

If any of the scores P1, P2 are <2 and it is not true that 5 >NF >= 3.5, then NF= min{P1, P2}

Due to academic needs, and according to the development of the course, the evaluation procedures may be adjusted by the teacher responsible for the subject.

This subject/module does not provide for the single assessment system

Recovery process:

• The final exam of the subject will consist of 2 different parts: Pr1 (topics 1 and 2) and Pr2 (topics 3 and 4), so that the marks Pr1 to Pr2 are obtained.

  • The student can take the parts that he deems appropriate and the continuous evaluation note will be replaced in all cases by the one obtained in the recovery test. For example, if the student appears in parts 1 and 2 obtaining Pr1 and Pr2, the NF will be calculated exactly as described above but substituting P1 for P1r and P2 for P2r.

• Once the student begins the recovery exam, he must necessarily hand in some answer sheet for correction. In other words, the possibility of entering the examination room and leaving it without handing in anything for correction is not contemplated.

• With the recovery processes established in the subject, all students have the opportunity to be evaluated twice in each of the evaluation activities, except for evaluations related to troubleshooting, which are non-recoverable. For this reason, no additional evaluation tests will be done if a student cannot attend one or more of the tests.

Programming of evaluation activities:

• The calendar of the evaluation activities will be given on the first day of the subject and will be made public through the Virtual Campus and on the website of the School of Engineering, in the exams section. The defense of the troubleshooting will only be published in the CV of the subject. There is a protocol for requesting the rescheduling of assessment activities in the cases described in the School of Engineering's Assessment Criteria and Instructions.

Evaluation for students repeating the subject:

• No differences with respect to first-time students

Procedure for reviewing the marks:

• For each evaluation activity, the procedure to review the activity will be indicated through the Virtual Campus of the subject. In this context, claims may be made about the grade for the activity, which will be evaluated by the teaching staff responsible for the subject.

Ratings:

  • Evaluation with honors (MH): it is the decision of the faculty responsible for the subject. The regulations of the UAB indicate that MH can only be granted to students who have obtained a final grade equal to or greater than 9.0. You can grant a MH up to 5% of the total number of students enrolled.

• A student will be considered not evaluable (NA) if s/he does not obtain a minimum grade of 0.5 in P1, P2 or in their respective recovery (Pr1, Pr2).

Irregularities by the student, copy and plagiarism:

• Without prejudice to other disciplinary measures deemed appropriate, irregularities committed by the student that may lead to a variation in the grade of an evaluation act will be graded with a zero. Therefore, copying, plagiarism, cheating, letting copying, etc. in any of theevaluation activities will involve suspending with a zero. The evaluation activities qualified in this way and by this procedure will not be recoverable.

• In this course, the use of Artificial Intelligence (AI) technologies is not allowed at any stage. Any work that includes AI-generated content will be considered a breach of academic integrity and may result in a partial or total penalty in the activity's grade, or more severe sanctions in serious cases.

Bibliography

  1. Haykin /Van Ven, \"Señales y sistemas\", Limusa Wiley.
  2. A. V. Oppenheim, \"Signals and Systems\", Prentice Hall.
  3. A. B. Carlson, \"Communication Systems\", McGraw Hill.
  4. Donald E. Scott, \"Introducción al análisis de circuitos\", McGraw Hill.
  5. Leon O. Chua, \"Linear and non linear circuits\", McGraw Hill.
  6. H. Baher, \"Analog & digital signal processing\", John Wiley.
  7. Thomas Shubert, \"Active and non-linear electronics\".
  8. A. Papoulis, M. Bertran, \"Sistemas y circuitos\", Marcombo.

 

Software

Not considered

Course groups and languages

The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE

Type of teaching Group Language Semester Shift
(TE) Theory 31 Catalan/Spanish second semester morning-mixed
(TE) Theory 33 Catalan/Spanish second semester morning-mixed
(TE) Theory 51 Catalan/Spanish second semester morning-mixed
(PAUL) Classroom practices 311 Catalan second semester morning-mixed
(PAUL) Classroom practices 312 Spanish second semester morning-mixed
(PAUL) Classroom practices 331 Spanish second semester morning-mixed
(PAUL) Classroom practices 332 Spanish second semester morning-mixed
(PAUL) Classroom practices 511 Catalan second semester morning-mixed