| Code |
14519
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| Year |
1
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| Semester |
S1
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| ECTS Credits |
6
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| Workload |
OT(15H)
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| Scientific area |
Informatics
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Entry requirements |
N/A
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Learning outcomes |
In this course, it is expected that students understand the main concepts related to signal analysis and processing. Also, they should be able to identify the several phases that compose the typical chain of signal analysis, along with the main techniques that are used at each step.
At a second level, students should get the ability to identify requisites, plan and implement a system that evolves signal analysis: selection of the signals to be used, planning of the data acquisition framework and protocol. Identification of data variation factors and of the methods for noise handling.
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Syllabus |
Introduction. Principles of digital signal processing. Vetctor spaces. Linear systems. Fourier Analysis. Filters: introduction and design. Sampling and quantization. Image processing: registration and optimization.
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Main Bibliography |
- J. G. Proakis. Digital Signal processing (4th edition). Pearson, ISBN-13: 978-0131873742, 2006;
- M. Vetterli, J. Kovacevic, V. Goyal. Foundations of Signal processing. Cambridge University Press. ISBN-13: 978-1107038608, 2014.
- M. Owen. Practical Signal Processing. Cambridge University Press. ISBAN-13: 978-1107411821, 2012
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Language |
Portuguese. Tutorial support is available in English.
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