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Class Signals and Systems

  • Presentation

    Presentation

    The main objective of the Signals and Systems course is to provide the students with the basics on the mathematical theory of signals and systems, sucha as: Concepts and properties of signals and systems, Linear time-invariant systems (LTI), Laplace transform, Fourier transform, Z transform, Discrete Fourier Transform, time-domain analysis, frequency-domain analysis and system transfer function. A parallel objective is to introduce the students to Matlab, which is the main tool for the laboratories. This course is a fundamental building block for more advanced subjects such as Telecommunictions, Computer Vision, Image Processing and System modeling.
  • Code

    Code

    ULHT46-7339
  • Syllabus

    Syllabus

    Introduction and mathematical foundations. Imaginary numbers. Complex numbers. Operations with complex numbers. Sine and cosine. Euler equation. Inverse functions of sine, cosine and tangent. Exponential and logarithm. Derivatives and integrals. Signals. Continuous and discrete signals. Properties of signals. Periodic signals, even and odd signals. Singular signals. Systems. Modeling systems. Linear invariant time signals. Convolution. Laplace Transform. Initial value theorem. Inverse Laplace Transform. Z Transform. Initial and final value theorem. Inverse Z Transform. Fourier Transform. Fourier Transform of periodic signals. Fourier Transform of continuous and discrete signals.
  • Objectives

    Objectives

    Knowledge: Concepts and properties of signals and systems, focusing on linear time-invariant systems (LTI), Laplace Transform, Fourier Transform, Z Transform, Discrete Fourier Transform, time-domain system analysis, frequency-domain system analysis. Skills: Analysis of linear time-invariant  (LIT) systems, using the tools provided by the Laplace Transform, Fourier Transform and Z Transform. From a theoretical point of view, the analysis is done using the mathematical tools, and from the practical point of view, using the software Matlab. Competences: Analysis and Synthesis of signals using the mathematical tools that transform signals and systems into space S, into frequency domain and analysis in the time-domain as well.
  • Teaching methodologies

    Teaching methodologies

    Use of the questioning method, which aims to make questions to the students. These questions aim to understand the advantages and limitations of the subject of study.
  • References

    References

    SINAIS E SISTEMAS (2aEd), Isabel Lourtie, Escolar Editora, 2007. ANÁLISE DE SISTEMAS LINEARES, Maria Isabel Ribeiro, IST Press, 2002. SIGNALS AND SYSTEMS, Alan V. Oppenheim e Alan S. Willsky, Prentice-Hall, 1997. DISCRETE-TIME SIGNAL PROCESSING, Alan V. Oppenheim e Ronald W. Schafer, Prentice-Hall, 1989. SIGNALS and SYSTEMS, Simom Haykin, Barry Van Veen, Wiley, 2002. SIGNALS and SYSTEMS. Analysis Using Transform Methods and Matlab, M. J. Roberts, McGraw Hill, 2003  
  • Assessment

    Assessment

     

    Descrição

    Data limite

    Ponderação

    Frequência de avaliação contínua

    05-11-2025

    30%

    Frequência de avaliação contínua

    14-01-2026

    50%

    Laboratórios

     

    20%

    A nota de avaliação contínua corresponderá à média ponderada, arredondada para a decima, das notas dos testes escritos e dos trabalhos de acordo coma
    seguinte ponderação: 10% para cada trabalho prático, 30,00% para o primeiro teste e 50% para o segundo teste. Caso o aluno não aprove nas frequências, haverá um Exame de recurso. Para obter aprovação na disciplina a nota mínima média dos testes é 9 valores e a nota mínima média dos trabalhos é 9 valores.  Cada trabalho de laboratório tem uma sessão de discussão oral, com uma ponderação de 55% na nota de cada trabalho de laboratório.

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