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Code: | EEC0013 | Acronym: | TSIN |

Keywords | |
---|---|

Classification | Keyword |

OFICIAL | Fundamental and Electrotechnics Sciences |

Active? | Yes |

Web Page: | https://www.fe.up.pt/si/conteudos_geral.conteudos_ver?pct_pag_id=1639&pct_parametros=p_ano_lectivo=2011/2012-y-p_cad_codigo=EEC0013-y-p_periodo=1S |

Responsible unit: | Department of Electrical and Computer Engineering |

Course/CS Responsible: | Master in Electrical and Computers Engineering |

Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
---|---|---|---|---|---|---|---|

MIEEC | 435 | Syllabus (Transition) since 2010/2011 | 2 | - | 6 | 63 | 162 |

Syllabus | 2 | - | 6 | 63 | 162 |

Lectures: | 2,00 |

Recitations: | 2,00 |

Type | Teacher | Classes | Hour |
---|---|---|---|

Lectures | Totals | 2 | 4,00 |

Armando Jorge Monteiro Neves Padilha | 2,00 | ||

Jorge Leite Martins de Carvalho | 2,00 | ||

Recitations | Totals | 8 | 16,00 |

Armando Jorge Monteiro Neves Padilha | 2,00 | ||

Jorge Leite Martins de Carvalho | 6,00 | ||

Maria do Rosário Marques Fernandes Teixeira de Pinho | 2,00 | ||

Paulo Jorge de Azevedo Lopes dos Santos | 6,00 |

2. To identify and distinguish continuous/discrete signals and systems;

3. To define, explain, operate and solve invariant linear systems, continuous and discrete, in the domains of time and frequencies (Fourier).

4. To interpret and calculate Laplace and Z transforms and relate them with invariant linear systems.

5. To decompose signals and systems and illustrate them;

6. To analyse invariant linear systems and represent them in time and frequency.

Continuous and discrete signals and systems; Invariant linear systems; Linear convolution; Fourier analysis for signals and systems; Frequency response; Introduction to Laplace and bilateral and unilateral Z transforms.

PROGRAM

1. Continuous and discrete signals and systems

1.1 Basic continuous and discrete signals

1.2 Systems and their properties (with or without memory, invertibility, causality, stability, temporal invariance, linearity)

2. Invariant linear systems

2.1 Representation of signals by impulses

2.2 Invariant linear systems; Convolution integral

2.3 Systems described by differential equations and difference equations

3. Fourier analysis for signals and systems

3.1 Signals and continuous systems

3.1.1 Response of invariant linear systems to complex exponentials

3.1.2 Representation and approximation of periodic signals (Fourier)

3.1.3 Representation of aperiodic signals by Fourier transform

3.1.4 Frequency response to system of first and second order, which are characterized by linear differential equations with constant coefficients.

3.1.5 Bilateral and unilateral Laplace transform; Definitions and region of convergence; Applications

3.2 Discrete signals and systems

3.2.1 Response of invariant linear systems to complex exponentials

3.2.2 Representation of periodic signals by discrete Fourier series

3.2.3 Representation of aperiodic signals by discrete Fourier transform

3.2.4 Response in frequency systems of first and second order, which are characterized by linear differential equations with constant coefficients.

3.2.5 Bilateral and unilateral Z transform; Definitions and convergence region; Applications

4. Sampling

Michael J. Roberts; Fundamentals of Signals and Systems, McGraw-Hill International Edition, 2008. ISBN: 978-007-125937-8

Lindner, Douglas K; Introduction to signals and systems. ISBN: 0-07-116489-8

Signals and Systems-MIT open course ware, MIT

Description | Type | Time (hours) | Weight (%) | End date |
---|---|---|---|---|

Attendance (estimated) | Participação presencial | 50,00 | ||

Midterm | Exame | 3,00 | 2011-11-09 | |

Final exam | Exame | 3,00 | 2012-02-10 | |

Study for final exam | Exame | 25,00 | 2012-02-10 | |

Total: |
- | 0,00 |

Description | Type | Time (hours) | End date |
---|---|---|---|

Study along semester | Estudo autónomo | 75 | 2011-12-16 |

Total: |
75,00 |

- Continuous Assessment – a mini-test, which will not last more than 1h 30m

- Written Exam – a final exam, which will not last more than 2h 30m

In order to assess aims 1, 2, 3 and 4 specific questions will be asked in both components of assessment, which may be multiple choice questions.

In order to aims 3, 4, 5 and 6 be assessed, students will have to do solve problems similar to those done in classes.

Note: Students cannot use calculating machines or mobile phones during the mini-test and the final exam. Students will get a form.

The mark of ordinary students will be based on the average mark of the mini-test (20%) and final exam (80%).

This average of both components will only be taken into account in normal and recurso season. If students want to improve their marks, the only component which will be taken into account is the final exam.

Students who do no attend to the mini-test will earn a 0. However, if their absence is adequately justified, they can attend to the final exam, which will worth 100% of the final mark.

Students may only achieve very high grades, namely 19 and 20 out of 20, if they obtain a compatible result in a special oral exam in the face of a jury composed by at least two members of the teaching staff.

Even though is it not written in the program and aims of the course, students should use the computer resources available. In FEUP’s network Matlab is available, a powerful computer tool. It can be used countless tools, simulators and the system of John Hopkins University

ATTENDANCE OF THE TEACHING STAFF FOR SIGNAL THEORY:

Jorge Martins de Carvalho (building I, room I-315)

Fridays: 10h00 – 11h30

Armando Jorge Padilha (building I, room I-309)

Tuesdays: 10h00 – 12h00; 15h30 – 16h30

Luís Corte-Real (building I, room I-332)

Tuesdays: 11h00 – 12h30

Paulo Lopes dos Santos (building I, room I-209)

Mondays: 11h00 – 12h00; Tuesdays: 11h00 – 13h00

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Page generated on: 2019-04-21 at 17:48:47

Page generated on: 2019-04-21 at 17:48:47