A tantárgyleírás hatályossága
Hatályosság kezdete:
2026. March 21.
Hatályosság vége:
—
| Subject name (Hungarian, English) |
Hírközléselmélet
Communication Theory
|
||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Subject code | BMEVIHVMA07 | ||||||||||||
| Subject type | — | ||||||||||||
| Training Level | — | ||||||||||||
| Course types and hours (weekly/semester) |
|
||||||||||||
| Assessment type | félévközi érdemjegy | ||||||||||||
| Credits | 4 | ||||||||||||
| Subject coordinator |
DR. Bitó János
position: egyetemi docens
contact:
bito.janos@vik.bme.hu
|
||||||||||||
| Responsible department |
Szélessávú Hírközlés és Villamosságtan Tanszék
|
||||||||||||
| Faculty | Villamosmérnöki és Informatikai Kar | ||||||||||||
| Subject website | http://hvt.bme.hu/index.php?option=com_content&view=article&id=479%3Ahirkoezleselmelet-vihvm107&catid=11%3Amsc-kepzes&Itemid=18%E2%8C%A9%3Dhu&lang=hu | ||||||||||||
| Primary curriculum type | — | ||||||||||||
| Direct prerequisites – Strong prerequisite | none | ||||||||||||
| Direct prerequisites – Weak prerequisite | none | ||||||||||||
| Direct prerequisites – Parallel prerequisite | none | ||||||||||||
| Direct prerequisites – Milestone prerequisite | none | ||||||||||||
| Direct prerequisites – Exclusion | none |
Objectives
Programme
- Introduction: task of telecommunication; sources of information, messages, interferers, noise; main blocks of communication systems, their function; digitl and analog communication. Brief mathematical introduction: stochastic processes
- Basics of information theory, definition of basic concepts, presentation via examples.
- Source coding: purpose, effectiveness, coding of sources without and with memory. The first coding theorem of Shanon (of source coding)
- Methods of source coding: Huffman-code; LZW code; arithmetic codes (szószerint: encoder)
- The transmission channel: mutual information; concept of the channel capacity. Typical channels: BSC, DMC, AWGN). Shannon bound. The second coding theorem of Shannon (of channel coding).
- Channel coding. Concept of message space, of code space. Classifying of errors. Hamming distance. Laws of code construction Singleton, Hamming bound, MDS, perfect code.
- Methods of binary linear channel coding: heuristic coding, code vectors, generator matrix and polynomial, parity check matrix and polynomial. Hamming codes
- Non-binary linear channel coding methods: finite fields; operations over Galois-fields. Non-binary Hamming codes, Reed-Solomon codes, cyclic codes
- Basics of decision theory; decision problems in communication. Binary decision, Bayes(minimum risk) decision; likelihood ratio, ML criterion, sufficient statistics, MAP decision.
- Basics of estimation theory: parameter estimation tasks; random parameters, cost functions, MMSE and MAP estimation; deterministic parameters, likelihood function, estimators, biased and unbiased types; Cramer-Rao bound, efficient estimators.
- Transmission of digital signals over analog channels. The concept of complex envelope. Signal sets; the signal space. Signal sets of 2D, examples: PSK, QAM; higher dimensionality: orthogonal, regular simplex signal set. Optimum receivers in AWGN channels: correlation, matched filter.
- Performance of noisy channels. Band limited channels, choice of signal waveform, Nyquist criterion (SZERINTEM AZ OPT. SIGN. SET ELŐSZÖR AZ AWGN-HEZ TARTOZNA.)
- Channel coding and modulation in channels with memory. Convolutional coding, trellis coding. Continous phase modulation. The Viterbi algorithm.
- Fading channels; Rayleigh- and Rice-fading. Error probability in fading channels. Principles of spread spectrum transmission, the DS and the FH system.
Widespread
concepts of and tasks to be solved by telecommunications can be described by a more
or less unified theory. Aim of this subject is to present basics of and applied
approaches in this theory. Main topics dealt with are information theory,
decision- and estimation theory as well as theory of digital communications.
In this framework students get acquainted with
important concepts, methods and procedures. Application of these concepts is
presented via a detailed discussion of practical examples taken from the
techniques of wireless and optical communication. Lectures, exercises as well
as tests are put together so to prepare students for being able to understand
and apply these concepts. Thus understanding of new or novel systems is
relatively easy for them; also they get the basis for following more
specialized subjects in later semesters as well as in solving novel tasks
during their career.
Learning outcomes
Ez a tantárgy a KKK rendeletben meghatározott, következő kompetenciák fejlesztését szolgálja:
Knowledge
No learning outcomes recorded.
Skills
No learning outcomes recorded.
Attitudes
No learning outcomes recorded.
Autonomy and responsibility
No learning outcomes recorded.
Oktatási módszertan
Six
lectures/ fortnight
Tanulástámogató anyagok
Online források
J. G.; Proakis, M. Salehi: Communication Systems Engineering (Prentice Hall, 2002); Th. M.; Cover, J. A. Thomas: Elements of Information Theory (Wiley, 2006); H. L. Van; Trees: Detection, Estimation, and Modulation Theory, Vol I (Wiley)
Recommended preliminary knowledge for completing the subject
Knowledge type competencies
(azon előzetes ismeretek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
Signals and
Systems, Infocommunication
Skill type competencies
(azon előzetes képességek és készségek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
nincs
Recommended (non-compulsory) preliminary competencies
(azon ajánlott (nem kötelező) előzetesen megszerzendő kompetenciák összessége, amelyek jelentősen hozzájárulnak a tantárgy eredményes teljesítéséhez)
Signals and
Systems, Infocommunication
General rules
Requirements:
During the
relevant semester: 4 written exams. Maximum score for each exam is 15 points.
Exam result vs. score: 0-4 points: 0; 4.5-7 points: failed (1); 7.5-9 points: pass
(2); 9.5-11 points: satisfactory (3);
11.5-13 points: good (4); 13.5-15
points: excellent (5). Exam not
written is taken as 0. The mark is failed
(1) if there are
less than two exams of score pass or
better. If there are at least two better-than-failed exams, the mark is the average rounded-to-an-integer of the
best two scores.
Additional possibilities:
-
Assessment methods
In-term assessments
No detailed assessments provided.
Weight of in-term assessments
No weights provided.
Exam-period assessments
No detailed assessments provided.
Weight of exam elements
No weights provided.
Grade calculation
No grade thresholds provided.
Attendance requirements
No attendance requirements provided.
Rules for retake and resubmission
Not provided.
Short description
Not provided.
Detailed description
Not provided.
Recommended courses
-
Workload to complete the subject
No workload breakdown provided.
Validity of subject requirements
Requirements valid from:
—
Requirements valid until:
—
Curriculum placement
No curriculum placements recorded for this subject version.