Introduction to Linear Signals and Systems

Code:

EEC0013

Acronym:

TSIN

Keywords
Classification	Keyword
OFICIAL	Basic Sciences for Electrotechnology

Instance: 2006/2007 - 1S

Active?	Yes
Web Page:	http://www.fe.up.pt/~padilha/TS/index.htm
Responsible unit:	Fundamental Sciences and Electrotechnics
Course/CS Responsible:	Master in Electrical and Computers Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
LEEC	1	Plano de estudos de transição para 2006/07	2	6	6	63	160
MIEEC	328	Syllabus since 2006/2007	2	-	6	63	160

Teaching language

Portuguese

Objectives

Learning the fundamental concepts to characterise and to process continuous-time and discrete-time systems, including the ability to analyse linear time-invariant systems by means of convolution, Fourier methods, and by Laplace and Z transforms. Understanding the methods and processes used in linear filtering and in sampling systems.

Program

Signals and systems, continuous-time and discrete-time. Linear time-invariant systems. Fourier analysis (direct and inverse Fourierseries and transforms) for continuous- and discrete-time signals and systems. Introduction to the Laplace transform and to the Z-transform, including properties and convergence analysis, and inverse transforms. Introduction to linear filtering, both continuous and discrete. Sampling methods for continuous-time signals.

Mandatory literature

Oppenheim, Alan V.; Signals & systems. ISBN: 0-13-651175-9

Complementary Bibliography

Lindner, Douglas K; Introduction to signals and systems. ISBN: 0-07-116489-8
Buck, John R.; Computer explorations in signals and systems. ISBN: 0-13-732868-0
Oppenheim, Alan V.; Digital signal processing. ISBN: 0-13-214107-8
Tretter, Steven A.; Introduction to Discrete-Time Signal Processing. ISBN: 0-471-88760-9
Papoulis, Athanasios; Signal Analysis. ISBN: 0-07-048460-0
Lourtie, Isabel M. G.; Sinais e sistemas. ISBN: 972-592-130-5

Teaching methods and learning activities

Standard methods are used in teaching Signal Theory. Lectures are given with some but intentionally limited graphical display support. Exercices in practical classes are dominantly a student-centered activity, namely by means of discussing the homework problems assigned. Students are also encouraged to use MatLab tools for out-of-class self-study.

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Description	Type	Time (hours)	Weight (%)	End date
Subject Classes	Participação presencial	56,00
Final exam	Exame	3,00		2007-02-01
Mid-term	Exame	1,00		2006-10-25
Sum-up study for final exam	Exame	18,00		2007-01-31
	Total:	-	0,00

Amount of time allocated to each course unit

Description	Type	Time (hours)	End date
Distributed study along semester	Estudo autónomo	84	2007-01-31
	Total:	84,00

Eligibility for exams

A student is given access to the final exam if he or she achieves a minimum score of 30% in continuous assessment. The score is given by the teaching staff of the pactical classes, based on the performance of the students and on their commitment. The performance evaluation is dominated by the results achieved in a large number of so called micro-tests (6 to 8 in the semester, answered in 10 minutes at the end of some practical classes).

Calculation formula of final grade

The final classification (FC) is obtained by making the weighted average of the continuous assessment(CA) and the final exam (FE). The formula is:
FC = 0.7 FE + 0.3 CA.

Examinations or Special Assignments

As mentioned above the students are required to answer short duration micro-tests, proposed at the end of roughly half the number of practical classes. These tests address similar problems to some previously assigned homework problems. For N tests made, the average result of the best N-2 tests is the basis for the CA score, however corrected by the other objective and subjective information that the teacher has gathered for each student.

Special assessment (TE, DA, ...)

A special assessment is granted for students who are not required to attend the practical classes (e.g. working students). The final exam is made different of the one for regular students, and 30 minutes longer. The main objective of this special exam is to cover most of the subjects taught, to cater for the lack of information obtained throughout the semester.

Classification improvement

Students approved in the regular final exam have optional access to a special designed exam. The classification obtained in this exam substitutes the previous one, if it is higher. Note that in this case the continuous assessment is discarded, and the classification is given by the exam alone.

Observations

Students who have got a continuous assessment (CA) score obtained in the previous teaching semester have to decide whether they want to keep it, in which case they do not answer micro-tests, or if they want to get a fresh CA, in which case the previous CA is eliminated and unrecoverable.

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.

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