# Signal Processing

**Year**

2

**Academic year**

2022-2023

**Code**

01000399

**Subject Area**

Signals, Systems and Signal Processing

**Language of Instruction**

Portuguese

**Mode of Delivery**

Face-to-face

**Duration**

SEMESTRIAL

**ECTS Credits**

6.0

**Type**

Compulsory

**Level**

1st Cycle Studies

## Recommended Prerequisites

Signals and Systems; Calculus; Linear Algebra.

## Teaching Methods

The teaching methodology consists of theoretical-practical classes where the main concepts, principles and example problems regarding signal processing are taught, and laboratory classes where the concepts are experimented with computational assignments.

## Learning Outcomes

To provide students with the main concepts and principles of discrete-time signals. To understand the representation of discrete signals in the frequency domain. To understand the relationship between continuous-time signals and their representation in discrete time by sampling. To learn the main techniques of digital filters projects and use them in basic lab experiments.

## Work Placement(s)

No## Syllabus

1. Discrete-time Fourier series

2. Discrete-time Fourier transform (DTFT)

3. Discrete Fourier transform (DFT)

4. Sampling of continuous-time and discrete-time signals

5. Z-transform for discrete-time signals

6. Design of discrete-time filters.

## Head Lecturer(s)

Fernando Manuel dos Santos Perdigão

## Assessment Methods

Assessment

*Frequency: 30.0%*

*Exam: 30.0%*

*Laboratory work or Field work: 40.0%*

## Bibliography

Alan Oppenheim, Allan Willsky, Signal and Systems, Prentice Hall, 2nd edition, 1997.

Alan Oppenheim, Ronald Schafer, Discrete-time Signal Processing, Prentice Hall, 3rd edition, 2010.