B8310 - STATISTICS AND MACHINE LEARNING FOR SIGNAL PROCESSING M

Academic Year 2026/2027

  • Docente: Mauro Mangia
  • Credits: 6
  • SSD: IINF-01/A
  • Language: English
  • Moduli: Mauro Mangia (Modulo 1) Mauro Mangia (Modulo 2)
  • Teaching Mode: In-person learning (entirely or partially) In-person learning (entirely or partially) (Modulo 1); In-person learning (entirely or partially) (Modulo 2)
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in Electronic Engineering for Intelligent Vehicles (cod. 5917)

    Also valid for Second cycle degree programme (LM) in Electronic Engineering (cod. 6716)

Learning outcomes

The course aims at reviewing basic concepts of probability, operator theory and optimization and using them in the development of fundamental signal processing methods ranging from filtering to spectrum estimation, linear prediction, adaptive sampling and dimensionality reduction.

Syllabus

The syllabus has not been published yet.

Office hours

See the website of Mauro Mangia