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U.Porto version of DSP Education Kit

Description:

This is an adaptation of the original ARM University DSP Education Kit (https://github.com/arm-university/Digital-Signal-Processing-Education-Kit) to serve the specificities of an undergraduate signal processing course at the University of Porto - Faculty of Engineering

Level: Level 6 (BSc)

Organisations: University of Porto

Target Audience

Undergraduate students taking a first signal processing course; anyone interested in the fundamentals of signal processing from a practical standpoint

Prerequisites:

A basic course on signals and systems

Learning Aims:

• This course aims to motivate students to the fundamental concepts, techniques and tools of analysis and design in the field of Signal Processing (SP). A particular emphasis is given to specific topics, notably

  • sampling and reconstruction of signals;
  • the Z-Transform;
  • the design and realization of FIR and IIR filters;
  • discrete equivalents of continuous systems;
  • the Discrete Fourier Transform (DFT) and its fast computation through the FFT;
  • practical applications of the DFT mainly in correlation studies and spectral analysis.

  A central objective is to empower students to solve signal processing-related problems and to motivate them to laboratory experimentation through the design, testing, and practical validation of solutions for selected challenges by following a "hands-on", "learning-by-doing", and "active learning" approach.

• Attendance and successful completion of this course will enable students

  • to understand the process of sampling and signal reconstruction and to anticipate its implications when applied to real signals;
  • to design, implement and test digital FIR and IIR filters according to specific operation and signal conditioning requirements, including in adaptive filtering;
  • to fully understand the DFT, its circular properties, and fast implementation alternatives (FFT);
  • to be able to identify and realize potential applications of the DFT, particularly in fast FIR filtering, correlation studies, and in spectral analysis.

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This is an adaptation of the original ARM University DSP Education Kit (https://github.com/arm-university/Digital-Signal-Processing-Education-Kit) to serve the specificities of an undergraduate signal processing course at the University of Porto - Faculty of Engineering

Course Type: Open

People

Organisations: University of Porto

Creators:	Aníbal J. S. Ferreira

Contributors:	GitHub Contributor:	Aníbal J. S. Ferreira

Certification

Course Structure

Length: One semester (= 12 weeks)

Taxonomy

Interests: Discrete time signal , Signal processing algorithms , Real time digital signal processing

Other

Course URL: https://github.com/Anibal-Ferreira/U.Porto-version-of-DSP-Education-Kit

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