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Glossary
Semester (Sem)
1First Semester
2Second Semester
AAnnual course
Language
Course completely offered in italian
Course completely offered in english
--Not available
Innovative teaching
The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching.
These CFUs include:
  • Subject taught jointly with companies or organizations
  • Blended Learning & Flipped Classroom
  • Massive Open Online Courses (MOOC)
  • Soft Skills
Course Details
Context
Academic Year 2018/2019
School School of Industrial and Information Engineering
Name (Master of Science degree)(ord. 270) - MI (487) Mathematical Engineering
Track MST - Applied Statistics
Programme Year 2

Course Details
ID Code 093267
Course Title DIGITAL SIGNAL PROCESSING
Course Type Mono-Disciplinary Course
Credits (CFU / ECTS) 10.0
Semester First Semester
Course Description The course deals with fundamentals of the estimation theory, statistical signal processing and time-data analytics using an application-driven approach with several interdisciplinary engineering examples from audio/video and digital communications, vibration analysis, imaging and remote sensing, GPS and navigation systems. Goal is to gain practice on the following key-topics: algebra for signal processing and estimation theory, fundamentals of the estimation theory (BLUE, MLE, CRB, MMSE, MAP), parameter tracking and Kalman filtering, and adaptive LMS/RLS filtering. Spectral analysis (AR/MA/ARMA) and high-resolution methods for line spectra and array processing. Detection theory, pattern and feature detection/classification, and supervised/unsupervised classification methods. Exercises are on theoretical aspects and practical cases with the use of Matlab software and Montecarlo simulation. During the semester there are 3 interactive exercises on practical cases by students organized in working groups.
Scientific-Disciplinary Sector (SSD)
Educational activities SSD Code SSD Description CFU
--
ING-INF/03
TELECOMMUNICATIONS
10.0

Schedule, add and removeAlphabetical groupProfessorLanguageCourse details
From (included)To (excluded)
--AZZZZSpagnolini Umberto
manifesti v. 3.4.0 / 3.4.0
Area Servizi ICT
20/09/2020