Title:

Signals and Systems

Code:ISS
Ac.Year:2017/2018
Term:Winter
Curriculums:
ProgrammeBranchYearDuty
IT-BC-1HBCH-Recommended
IT-BC-3BIT2ndCompulsory
Language:Czech
Public info:http://www.fit.vutbr.cz/study/courses/ISS/public/
Credits:6
Completion:examination (written)
Type of
instruction:
Hour/semLecturesSem. ExercisesLab. exercisesComp. exercisesOther
Hours:39120014
 ExaminationTestsExercisesLaboratoriesOther
Points:512501212
Guarantee:Černocký Jan, doc. Dr. Ing., DCGM
Lecturer:Černocký Jan, doc. Dr. Ing., DCGM
Instructor:Baskar Murali K., DCGM
Beneš Karel, Ing., DCGM
Grézl František, Ing., Ph.D., DCGM
Kodym Oldřich, Ing., DCGM
Mošner Ladislav, Ing., DCGM
Ondel Lucas, Mgr., DCGM
Silnova Anna, DCGM
Skácel Miroslav, Ing., DCGM
Žmolíková Kateřina, Ing., DCGM
Faculty:Faculty of Information Technology BUT
Department:Department of Computer Graphics and Multimedia FIT BUT
Prerequisites: 
Discrete Mathematics (IDA), DMAT
Mathematical Analysis (IMA), DMAT
Schedule:
DayLessonWeekRoomStartEndLect.Gr.St.G.EndG.
Tueexam - 1. oprava2018-01-23D10509:0011:502BIA
Tueexam - 1. oprava2018-01-23D10509:0011:502BIB
Tueexam - 1. oprava2018-01-23D10509:0011:503BIT
Tueexam - 1. oprava2018-01-23D020609:0011:502BIA
Tueexam - 1. oprava2018-01-23D020609:0011:502BIB
Tueexam - 1. oprava2018-01-23D020709:0011:502BIA
Tueexam - 1. oprava2018-01-23D020709:0011:502BIB
Tueexercise - nahradni cviceni ISS2017-10-03A11310:0011:50
Wedexam - řádná2018-01-10D10509:0011:502BIA
Wedexam - řádná2018-01-10D10509:0011:502BIB
Wedexam - řádná2018-01-10D10509:0011:503BIT
Wedexam - řádná2018-01-10D020609:0011:502BIA
Wedexam - řádná2018-01-10D020609:0011:502BIB
Wedexam - řádná2018-01-10D020709:0011:502BIA
Wedexam - řádná2018-01-10D020709:0011:502BIB
Wedexam - řádná2018-01-10E11209:0011:502BIA
Wedexam - řádná2018-01-10E11209:0011:502BIB
Wedexam - řádná2018-01-10E10409:0011:502BIA
Wedexam - řádná2018-01-10E10509:0011:502BIB
Wedexam - řádná2018-01-10A11209:0011:502BIA
Wedexam - řádná2018-01-10A11309:0011:502BIB
Wedexam - 2. oprava2018-01-31D10509:0010:502BIA
Wedexam - 2. oprava2018-01-31D10509:0010:502BIB
Wedexam - 2. oprava2018-01-31D10509:0010:503BIT
Frimimoradne numericke cviko2018-01-05D10516:0017:502BIA
Frimimoradne numericke cviko2018-01-05D10516:0017:502BIB
 
Learning objectives:
  To learn and understand basic theory of signals and linear systems with continuous and discrete time. To introduce  to random signals. The emphasis of the course is on spectral analysis and linear filtering - 2 basic building blocks of modern communication systems.
Description:
  Continuous and discrete time signals and systems. Spectral analysis in continuous time - Fourier series and Fourier transform. Systems with continuous time. Sampling and reconstruction. Discrete-time signals and their frequency analysis: Discrete Fourier series and Discrete-time Fourier transform. Discrete systems. Two-dimensional signals and systems. Random signals.
Knowledge and skills required for the course:
  basic maths and statistics
Subject specific learning outcomes and competences:
  Students will learn and understand basis of  description and analysis of discrete and continuous-time signals and systems. They will also obtain practical skills in analysis and filtering in MATLAB.
Generic learning outcomes and competences:
  Students will deepen their knowledge in mathematics and statistics and apply it on real problems of signal processing. During the course, they will get acquainted with math- and visualization-SW Matlab.
Syllabus of lectures:
 
  1. Digital filters - fundamentals and practical usage
  2. Frequency analysis using DFT - fundamentals and practical usage
  3. Image processing (2D signals) - fundamentals and practical usage
  4. Random signals - fundamentals and practical usage
  5. Applications of signal processing and introduction to theory
  6. Frequency analysis of continuous time signals
  7. Continuous time systems
  8. From continuous to discrete - sampling, quantization
  9. Discrete signal sin more detail
  10. Digital filtering in more detail
  11. Random signals in more detail
  12. Applications and advanced topics of signal processing
Syllabus of computer exercises:
 
  1. Introduction to MATLAB
  2. Projection onto basis, Fourier series
  3. Processing of sounds
  4. Image processing
  5. Random signals
  6. Sampling, quantization and aliasing
Syllabus - others, projects and individual work of students:
 The individual project aims at image processing, see  http://www.fit.vutbr.cz/study/courses/ISS/public/#proj
Fundamental literature:
 
  • Oppenheim A.V., Wilski A.S.: Signals and systems, Prentice Hall, 1997
Study literature:
 
  • http://www.fit.vutbr.cz/study/courses/ISS/public/
  • Jan, J., Kozumplík, J.: Systémy, procesy a signály. Skriptum VUT v Brně, VUTIUM, 2000.
  • Šebesta V.: Systémy, procesy a signály I., Skriptum VUT v Brně, VUTIUM, 1997.
  • Jan J., Číslicová filtrace, analýza a restaurace signálů, VUT v Brně, VUTIUM, 2002, ISBN 80-214-1558-4.
Controlled instruction:
  
  • participation in computer labs is not checked but active participation and presentation of results to the tutor is evaluated by 2 pts.
  • Groups in computer labs are organized according to inscription into schedule frames.
Progress assessment:
  
  • active participation in computer labs, presentation of results to the tutor - 2 pts. each, total 12 pts.
  • half-semester exam, written materials, computers and calculators prohibited, 25 pts.
  • submission of project report - 12b.
  • final exam - 51 pts., written materials, computers and calculators prohibited, list of basic equations will be at your disposal. The minimal number of points which can be obtained from the final exam is 17. Otherwise, no points will be assigned to the student.