Data Transmission

Course Description

Model of a digital communication system. Channel capacity and transmission rate. Transmission channel as a linear time-invariant system. Nyquist criterions and intersymbol interference. Optimum transmit and receive filters. Symbol error probability. Baseband signal transmission and channel equalization. Transmission duplexity. Scrambling. Line coding. Modulation techniques for passband data transmission. Coding channel and error correction, ARQ techniques. Data transmission systems.

General Competencies

Experience in modeling, analyzing and designing of telecommunication transmission systems on the physical and data link layer. Fundamental knowledge on data transmission analysis in transmission channel containing transmitter, transmission medium and receiver.

Learning Outcomes

  1. recognize basic parameters of communication systems regarding data transmission
  2. reproduce basic postulates in data transmission
  3. apply the postulates for estimation of transmission performances
  4. analyze signal transmission through communication channels
  5. create models of transmitter and receiver in data transmission
  6. compute data transmission performances on physical layer of communication

Forms of Teaching


First cycle (seven weeks): lectures, then Midterm exam, and Second cycle (six weeks): lectures, then Final exam. Two hours of lectures per week.


Midterm exam: after 7 weeks of lectures; Final exam: after 6 weeks of lectures.


Lecturer defines fixed terms for consultations. Arrangement for consultations in other terms is possible via e-mail.

Other Forms of Group and Self Study

Students can voluntarily process some interesting themes related to a course and present them in brief during lectures.

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Attendance 0 % 10 % 0 % 0 %
Mid Term Exam: Written 0 % 40 % 0 %
Final Exam: Written 0 % 40 %
Final Exam: Oral 10 %
Exam: Written 0 % 80 %
Exam: Oral 20 %

Week by Week Schedule

  1. Model of a digital communication system. Communication channel capacity and transmission rate.
  2. Transmission channel as a linear time-invariant system. Impulse response and transfer function. Channel bandwidth.
  3. Baseband signal transmission. First Nyquist criterion and intersymbol interference. Bandwidth efficiency.
  4. Second and third Nyquist criterion. Signal transmission through band-limited transmission system.
  5. Matched filter. Design of optimum transmit and receive filters. Signal shaping for high-speed transmission.
  6. Symbol error probability. Optimum decision threshold. Influence of intersymbol interference on symbol error probability.
  7. Baseband PAM transmission system. Channel equalization. Eye-pattern as a qualitative measure for intersymbol interference assessment.
  8. Midterm exam.
  9. Midterm exam.
  10. Transmission duplexity. Echo cancellation. Frequency and time division duplex. Pseudo-noise sequence generator and signal scrambling.
  11. Signal formats: NRZ and RZ. Line coding: binary, ternary, quaternary and PAM codes. Power spectral density of line codes.
  12. Passband digital transmission. Digital modulation techniques for passband data transmission: ASK, FSK, PSK and QAM. Spectral characteristics of modulation techniques.
  13. Orthogonal frequency division multiplexing techniques: DMT and OFDM.
  14. Models of a coding channel. Protecting data from symbol errors. Automatic repeat request techniques.
  15. Survey of data transmission systems.

Study Programmes

University graduate
Telecommunication and Informatics (profile)
Specialization Course (3. semester)


Haykin, S. (2009.), Communication Systems, 5th ed., Wiley
Anderson, J.B. (2005.), Digital Transmission Engineering, Wiley-IEEE Press
Couch, L.W. (2006.), Digital and Analog Communication Systems, 7th ed., Prentice Hall
Stern, H.P.E., Mahmoud, S.A. (2003.), Communication Systems, Prentice Hall
Sklar, B. (2001.), Digital Communications, 2nd ed., Prentice Hall


ID 34474
  Winter semester
L0 English Level
L1 e-Learning
30 Lectures
0 Exercises
0 Laboratory exercises
0 Project laboratory

Grading System

85 Excellent
70 Very Good
55 Good
40 Acceptable