Course Code : | 1514FTIDSP |

Study domain: | Electronics |

Academic year: | 2019-2020 |

Semester: | 2nd semester |

Sequentiality: | The student must have been enrolled for 4-Mathematics (1014FTIWIS) or S2-Mathematics (5002FTIWIS) |

Contact hours: | 30 |

Credits: | 3 |

Study load (hours): | 84 |

Contract restrictions: | Exam contract not possible |

Language of instruction: | English |

Exam period: | exam in the 2nd semester |

Lecturer(s) | Walter Daems Maggy Goossens |

At the start of this course the student should have acquired the following competences:

an active knowledge of

specific prerequisites for this course

an active knowledge of

- English

This course is taught in English.

- general knowledge of the use of a PC and the Internet

specific prerequisites for this course

- Basic knowledge of Matlab (software)
- Basic matrix manipulations (sum, product, transpose, inverse, solving sets of simultaneous equations)
- Basic vector and plot creation
- Writing simple matlab functions

- Advanced knowledge of calculus (orthogonal functions and signal transformations)
- Basic sequences and series (arithmetic, geometric, ...)
- General calculus (limit calculations, derivatives, proper and improper integrals, incl. the notion of convergence)
- Complex number theory
- Complex functions as vectors in a vector space, scalar product of complex functions
- The concept of a set of orthogonal functions, projection of functions onto such a set
- The Fourier series
- The Laplace transform

- BE1/BE2/BT1 - EI-K1/EI-K4: The student understands and is able to use the foundations (concepts and properties) of digital signal processing.
- BE1/BE2 – EI-K1/EI-K4: The student understands and can apply the consequences of value, time and frequency discretization.
- BE1/BE2 – EI-K1/EI-K4: The student understands and can apply signal transformations to simple examples.

**Lectures:**

- Introduction to continuous-time and discrete-time signals
- The Fourier transform family (FS, FT, DtFT, DFT)
- The DFT/FFT in practice
- Sampling, Quantization and Reconstruction
- The Laplace transform in relation to the Fourier transform (short recap)
- The Z-transform

**Project:**

The nature and goals of the project will be explained in the first exercise session.

The course has an international dimension.

Class contact teachingLectures Practice sessions

Personal workExercises Assignments Individually

Portfolio

ProjectIndividually

**5.3 Facilities for working students ***

Classroom activities

Personal work

Portfolio

Project

Classroom activities

- Lectures: recording available via video link on Blackboard

ExaminationWritten examination without oral presentation Closed book Multiple-choice Open-question

Project

PortfolioProduct portfolio

Project

Portfolio

- Walter Daems, "Digital Signal Processing, Signals and Transforms - Text book)", Ed. 2019, Digital Manifold Waves IPC (approx. 13EUR)
- Walter Daems, "Digital Signal Processing, Signals and Transforms - Solutions to the exercises", Ed. 2019, Digital Manifold Waves IPC (approx. 3EUR)
- Walter Daems, "Digital Signal Processing, Signals and Transforms - Formula Collection", Ed. 2019, Digital Manifold Waves IPC (approx. 2EUR)

The above materials can be ordered on https://www.digmanwaves.net/Printing.html

The changes w.r.t. Ed. 2018 are minimal.

- Presentations and documents on Blackboard.
- Your own laptop with Matlab installed.

Free online material:

- http://www.dspguide.com/pdfbook.htm
- https://ccrma.stanford.edu/~jos/

You can ask for assistance during the sessions, or by making an appointment via mail to:

- maggy.goossens@uantwerpen.be
- walter.daems@uantwerpen.be