Course:

Licenciatura em Tecnologias da Música

Profile(s):

Branch(es):

Contact Hours per Semester:

30

Scientific area:

TM

Curricular year:

3

Semesterly/Yearly:

Semestral

Option:

[""]

ECTS:

5

Type (1):

T

Teacher responsible for the Curricular Unit:

Diogo Alarcão

Time allocation for the C.U.:

30

Other teachers and time allocation for the C.U:

Learning Outcomes (knowledge, aptitudes and skills to be developed by the students)

To understand the main concepts and applications used in digital signal processing, with special emphasis in the practical computer implementation (MATLAB/OCTAVE).

Syllabus:

Characterisation and classification of continuous and discrete signals and systems. Representation of discrete time signals. Examplary important signals. Elementary operations on discrete time signals. Linear convolution. Correlation of time signals. Impulse response and step response of LTI systems. Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT). Time windows. Frequency response and spectral analysis. Z Transform and applications. Digital filters (IIR filters, FIR filters). Digital Audio Effects

Demonstration of the Articulation of the Programme Contents with the Objectives of the C.U.

Considering the objectives of this curricular unit, any expert in the field can conclude that all the syllabus points aim to give the students the competences and the required knowledge and skills to reach the learning outcomes.

Teaching and Evaluation Methods:

The teaching methodology is based on systematic and organized presentation of information through questioning, critical analysis and research suggested by the teacher, complemented with its study and discussion, and with guidance and supervision of the knowledge and skills acquisition process, as specified in the C.U. objectives - The evaluation process is based on observation of the quality of participation in the activities developed during the course, including presentations and discussion of assignments, other tests or exams, verifying the level of the acquired knowledge and skills as specified in the C.U. objectives. Theoretical-practical lessons having a substantial component of solved exercises being applied to the resolution of real problems practical issues. Students undertake practical work in order to consolidate the knowledge learned during the lessons. Group/Class. This curricular unit is given in a group class. Continuous Assessment: AF= T1x0.7+T2x0.7+TRABx0.2+PARTx0.1 AF - Final evaluation; T1 - 1st test; T2 - 2nd test; TRAB – Practical work; PART – participation in class. Maximum classroom lessons absences: 3 (except student workers). Students who have not completed the Continuous Assessment, or are disapproved by absences, may undertake the Examination in the Normal Season, and If they fail the Normal Season’s exam, they can still do an examination in the Appeal Season. The student who fails the Continuous Assessment may do the examination only during the Appeal Season.

Demonstration of the Articulation of the Teaching Methodologies with the Learning Objectives of the C.U.:

The teaching methodologies are based on the transfer of theoretical and practical concepts through the extensive use of practical exercises and case studies (real), together with classes where the students conduct experimental work. All the concepts and fundamentals presented in the syllabus are widely discussed with the students in the lessons, and, whenever possible, these concepts are applied to real situations that the students know by themselves. This way one can satisfy the objective that the students can learn all concepts related with acoustic waves, in practice. The coherence of the teaching methodologies with curricular unit’s objectives is measured by the performance and progress of students in the lessons, and in the results of the practical works and of the tests or exams.

Bibliography:

Textos de Apoio à UC Processamento de Sinais - Diogo Alarcão. Digital Signal Processing – a computer based approach - Sanjit K. Mithra, 3rd Edition 2006/4th Edition 2010, McGraw Hill. Digital Signal Processing (The scientist and engineer’s guide to…) - Steven W. Smith, 1999