Communication Theory
BASIC DATA
course listing
A - main register
course code
IEE2610
course title in Estonian
Sideteooria
course title in English
Communication Theory
course volume CP
-
ECTS credits
6.00
to be declared
yes
fully online course
not
assessment form
Examination
teaching semester
autumn
language of instruction
Estonian
English
Study programmes that contain the course
code of the study programme version
course compulsory
IAVM23/25
no
Structural units teaching the course
IE - Thomas Johann Seebeck Department of Electronics
Course description link
Timetable link
View the timetable
Version:
VERSION SPECIFIC DATA
course aims in Estonian
Aine eesmärk on:
- tutvustada telekommunikatsiooni matemaatilisi aluseid ja edastuskanalite põhitüüpe;
- õpetada hindama edastuskanalite jõudlust;
- tutvustada allika- ja kanalikodeerimise põhimeetodeid;
- õppida tundma optimaalse vastuvõtja töö aluseks olevaid sümboli eristustehnikaid;
- tutvustada sümboliinterferentsi tekkepõhjusi ja selle mõju vähendamise tehnikaid piiratud ribalaiusega edastuskanali korral;
- tutvustada raadiokanali ajalis-sageduslikke parameetreid ja nende mõju kanali jõudlusele.
course aims in English
The aim of this course is to:
- introduce the mathematical theory of telecommunications, and basic types of communications channels;
- teach how to estimate the capacity of a channel;
- introduce basic methods of source and channel coding;
- introduce demodulation and symbol detection techniques;
- introduce the sources of intersymbol interference and methods to reduce its effects in bandlimited channels;
- introduce time-frequency characteristics of radio channel and their effect on channel capacity.
learning outcomes in the course in Est.
Kursuse sooritanud üliõpilane:
- arvutab sõnumiallika entroopiat ja andmekiirust;
- rakendab edastuskanali jõudluse hindamise põhimõtteid mürade ja häirete olemasolul kanalis;
- kirjeldab peamiste allika- ja kanalikodeerimismeetodite omadusi ja kasutusvaldkondi;
- teab demodulaatorite ja sümboli eristajate põhitüüpe ning oskab hindab sümboli vea tõenäosusi;
- valib reaalsete sidekanalite projekteerimisel signaale ja hajutusmeetodeid sümboliinterferentsi ning vaibumiste häiriva mõju vähendamiseks;
- hindab konkreetse hajutusmeetodi rakendamisega saavutatavat häirekindluse kasvu.
learning outcomes in the course in Eng.
After having successfully passed the course a student:
- calculates the logarithmic measure of information and data rate of a data source;
- estimates the channel capacity in presence of noise and distortions;
- knows basic types and applications of source and channel coding methods;
- knows basic types of demodulators and symbol detectors and calculates symbol error probability;
- chooses proper waveforms and implements diversity techniques for a communications channel under design to reduce the effects of intersymbol interference;
- estimates the improvement in communications link reliability for a given diversity technique.
brief description of the course in Estonian
Sidesüsteemi põhilised koostisosad. Sõnumiedastuse matemaatilised alused. Infoteooria põhimõisted. Sõnumiallika entroopia ja andmekiirus. Allikakodeerimise ja kanalikodeerimise alused. Edastus põhi- ja pääsuribas. Piiratud ribalaiusega edastuskanal. Digitaaledastus aditiivse Gaussi müraga kanalis. Optimaalne vastuvõtja. Vea tõenäosus erinevate digitaalmodulatsioonimeetodite korral. Range ja sujuva otsustusega dekodeerimine. Kandja taastamine ja vastuvõtja sünkroniseerimine. Sümboliinterferents. Ekvalaiserid. Sümbolijada dekodeerimise Viterbi algoritm. Raadiokanali ruumiline, ajaline ja sageduslik koherentsus. Hajutusmeetodid side töökindluse suurendamiseks. Hajusspekterside. MIMO. Adaptiivmodulatsioon edastusel läbi mitmekiireleviga ja vaibumistega raadiokanali.
brief description of the course in English
Basic elements of a communications system. Mathematic theory of information transmission. Data rate. Entropy. Basics of source and channel coding. Baseband and passband communications. Limited-bandwidth channel. Signaling over additive Gaussian noise channel. Optimum receiver. Probability of error for different digital modulation techniques. Soft- and hard-decision decoding. Carrier recovery and symbol synchronization. Intersymbol interference. Equalizers. Spatial coherence, coherence time and bandwidth of a radio channel. Diversity techniques. MIMO. Adaptive modulation for signalling over multipath fading channels.
type of assessment in Estonian
-
type of assessment in English
-
independent study in Estonian
-
independent study in English
-
study literature
-
study forms and load
daytime study: weekly hours
3.0
session-based study work load (in a semester):
lectures
2.0
lectures
-
practices
0.0
practices
-
exercises
1.0
exercises
-
lecturer in charge
-
LECTURER SYLLABUS INFO
semester of studies
teaching lecturer / unit
language of instruction
Extended syllabus
2025/2026 autumn
Mari-Anne Meister, IE - Thomas Johann Seebeck Department of Electronics
Estonian
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    2024/2025 autumn
    Mari-Anne Meister, IE - Thomas Johann Seebeck Department of Electronics
    Estonian
      2023/2024 autumn
      Mari-Anne Meister, IE - Thomas Johann Seebeck Department of Electronics
      Estonian
        Course description in Estonian
        Course description in English