Course detail
Digital Signal Processing (in English)
FIT-CZSaAcad. year: 2020/2021
Introduction to digital signal processing, sampling and quantization, Frequency analysis of digital signals, Principles of digital filters, Digital filter design, Practical implementation of digital filters. Processing in frequency domain, Sub-band signal processing, changing the sampling frequency, Wavelet analysis and synthesis, Random signals, State space representation, System identification, Wiener and Kalman filtering, Vector signal processing.
Guarantor
Department
Offered to foreign students
Learning outcomes of the course unit
Prerequisites
Co-requisites
Recommended optional programme components
Literature
Jan J., Číslicová filtrace, analýza a restaurace signálů, VUT v Brně, VUTIUM, 2002, ISBN 80-214-1558-4.
Mallat S, A Wavelet Tour of Signal Processing (Third Edition), Academic Press, 2009, ISBN 9780123743701
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
- Solving and submitting solution of two home-works during the semester (7pts each, total 14pts)
- Half-semestral exam (15pts)
- Submission and presentation of project (20pts)
- Semestral exam, 51pts, requirement of min. 17pts.
Language of instruction
Work placements
Aims
Classification of course in study plans
- Programme IT-MGR-2 Master's
branch MGMe , any year of study, winter semester, 5 credits, compulsory-optional
- Programme IT-MGR-2 Master's
branch MIN , any year of study, winter semester, 5 credits, compulsory-optional
- Programme MITAI Master's
specialization NADE , any year of study, winter semester, 5 credits, elective
specialization NBIO , any year of study, winter semester, 5 credits, elective
specialization NGRI , any year of study, winter semester, 5 credits, elective
specialization NNET , any year of study, winter semester, 5 credits, elective
specialization NVIZ , any year of study, winter semester, 5 credits, elective
specialization NCPS , any year of study, winter semester, 5 credits, compulsory
specialization NSEC , any year of study, winter semester, 5 credits, elective
specialization NEMB , any year of study, winter semester, 5 credits, elective
specialization NHPC , any year of study, winter semester, 5 credits, elective
specialization NISD , any year of study, winter semester, 5 credits, elective
specialization NIDE , any year of study, winter semester, 5 credits, elective
specialization NISY , any year of study, winter semester, 5 credits, elective
specialization NMAL , any year of study, winter semester, 5 credits, elective
specialization NMAT , any year of study, winter semester, 5 credits, elective
specialization NSEN , any year of study, winter semester, 5 credits, elective
specialization NVER , any year of study, winter semester, 5 credits, elective
specialization NSPE , any year of study, winter semester, 5 credits, compulsory - Programme IT-MGR-1H Master's
branch MGH , any year of study, winter semester, 5 credits, recommended
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
- Introduction to digital signal processing, sampling and quantization.
- Frequency analysis of digital signals, DTFT, DFT and FFT.
- Principles of digital filters.
- Digital filter design.
- Practical implementation of digital filters.
- Processing in frequency domain
- Sub-band signal processing, changing the sampling frequency.
- Wavelet analysis and synthesis.
- Random signals - correlation and power spectral density.
- State space representation.
- System identification.
- Wiener and Kalman filtering.
- Vector signal processing
Fundamentals seminar
Teacher / Lecturer
Syllabus
Project
Teacher / Lecturer
Syllabus
- Simple signal processing for a microphone array
- Estimation of transfer function of a mechanical system
- Changing the properties of sound using time-frequency processing.
- Sub-band audio coding.