Digital Signal Processing

Course objectives

The course presents theoretical and practical topics concerning digital signal processing. About 40% of the course consists of practical experiences carried out on the Colab platform using the Python language. After attending the course the student will be able to analyze and implement FIR filters, IIR filters, smoothing filters, upsampling, downsampling and resampling operations, transform operations. It will have some experience with the ECG and audio signals and with the time series processing.

Channel 1
LORENZO PIAZZO Lecturers' profile
  • Lesson code10606370
  • Academic year2024/2025
  • CourseBiomedical Engineering
  • CurriculumTecnologie elettroniche
  • Year1st year
  • Semester2nd semester
  • SSDING-INF/03
  • CFU6
  • Subject areaAttività formative affini o integrative