| Code |
8545
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| Year |
2
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| Semester |
S1
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| ECTS Credits |
6
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| Workload |
T(30H)/TP(30H)
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| Scientific area |
Informatics, Automation and Control
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Entry requirements |
None
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Mode of delivery |
Face-to-face.
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Work placements |
N/A.
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Learning outcomes |
Characterize linear time-invariant systems and their representation with convolution. Learn and represent continuous/discrete signals in the time & frequency domains, Fourier analysis and transforms, signal transmission and filtering, sampling, discrete processing of continuous signals and feedback.
Comprehend characterization of linear time-invariant systems and their representation with convolution. To know how to represent continuous/discrete signals in the time & frequency domains, and Fourier analysis and transforms. To acquire research competences on innovative methodologies and techniques for signal transmission and filtering, sampling, discrete processing of continuous signals and feedback.
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Syllabus |
1 - Signal and systems
2 - Linear time-invariant systems
3 - Fourier Series representation of periodic signals
4 - The continuous time Fourier transform
5 - The discrete time Fourier transform
6 - The time and frequency characterization of signals and systems
7 - Sampling
8 - The Laplace Transform
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Main Bibliography |
1) Alan V. Oppenheim, Alan S. Willsky, with S. Hamid, Signals and Systems, (International Edition) Prentice Hall, Pearson Education, 1997 (ISBN10: 0-13-651175-9)
2) Simon Haykin, Barry Van Veen, Signals and Systems, John Wiley and Sons, 2005.
3) Isabel Lourtie, Sinais e Sistemas, Escolar Editora, 2002.
4) Hwei Piao Hsu, Signals and Systems, Schaum's Outline Series, McGraw-Hill, 1995.
5) Charles L. Phillips, John M. Parr & Eve A. Riskin, Signals, Systems, and Transforms, 3rd Edition, Prentice Hall, 2002.
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Teaching Methodologies and Assessment Criteria |
Students' acquisition of knowledge is verified throughout the semester through written tests and a mini-project.
Final classification = 0.3*Freq F1 + 0.3*freq F2 + 0.4*mini-project
Final exam classification = 0.6*Exam + 0.4*mini-project
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Language |
Portuguese. Tutorial support is available in English.
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