B8310 - STATISTICS AND MACHINE LEARNING FOR SIGNAL PROCESSING M

Academic Year 2026/2027

  • Docente: Mauro Mangia
  • Credits: 6
  • SSD: IINF-01/A
  • Language: English

Learning outcomes

The course aims to give students the appropriate techniques for the acquisition and processing of real world data and the implementation of efficient and robust signal processing structures. Knowledge about the modern theory and practice of sampling from an engineering perspective, and classical and modern signal processing tools will be acquired.

Syllabus

The syllabus has not been published yet.

Office hours

See the website of Mauro Mangia