Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

University of Padova

Foundations of Signals and Systems: Analyse and Process Digital Signals

University of Padova via FutureLearn

Write review

Overview

Coursera Spring Sale
40% Off Coursera Plus Annual!
Grab it

Gain essential knowledge of signals and systems

Understanding signals and systems is fundamental for success in advanced ICT, multimedia, and telecommunications studies.

This five-week course equips you with the core skills to analyse, transform, and interpret signals using both theoretical and practical tools.

Prepare yourself for graduate-level learning with this specialised online course that will help build the foundations for a successful career in information and communication technologies.

Develop an understanding of Fourier and Laplace transforms

You’ll begin by exploring the fundamental properties of signals, including energy, power, and periodicity.

Learn how to analyse system behaviour through concepts like linearity, stability, and time invariance, and apply transformations such as Fourier and Laplace for signal processing.

Armed with this knowledge, you’ll have a strong foundation of knowledge in how to analyse functions.

Gain practical skills in signal analysis using MATLAB

Hands-on labs with MATLAB will allow you to visualise and process signals, implement convolution techniques, and understand the impact of sampling and digital representation on system performance.

By the end, you’ll be able to analyse and interpret signals with confidence, ready for advanced study or work in the field.

This course is designed for international and domestic students preparing for graduate studies in ICT, multimedia, and engineering. Suitable for those needing foundational knowledge in signals and systems for success in technical degree programmes.

Syllabus

  • Signals in the time-domain
    • Introduction
    • Aperiodic signals
    • Periodic signals
    • Basic transformations and symmetries
    • Periodic repetition and ideal impulses
    • Wrap-up
  • Systems in the time-domain
    • Systems properties
    • LTI systems
    • Circular convolution and filters
    • Introduction to MatLab
    • Convolution in MatLab
    • Wrap-up
  • Fourier transforms
    • Fourier series
    • Discrete Fourier transform
    • Fourier transform
    • Relations among the transforms and filters
    • Wrap-up
  • Discrete-time Fourier transform and sampling theorem
    • Discrete-time Fourier transform
    • Filters in discrete-time, and wrap up
    • Shannon's Sampling Theorem
    • Fourier transform in MatLab
    • Wrap-up
  • Laplace transforms
    • The Laplace transform
    • Solving differential equations
    • Wrap-up

Taught by

Tomaso Erseghe

Tags

Reviews

Start your review of Foundations of Signals and Systems: Analyse and Process Digital Signals

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.