Professional study programme

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Digital Communications SR502-17

ECTS 7.5 | P 45 | A 30 | L 15 | K 0 | ISVU 175231 | Academic year: 2019./2020.

Course groups

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Course lecturers



Present analogue and digital signals in time and frequency domain, as well as discretisation of the analogue signal and AD converters. Introduce students to digital signal formats and parameters, spectral characteristics, noise sensitivity, error detection capability, and digital signal synchronisation. Introduce students to discrete modulation, pulse modulation and digital modulation procedures. Introduce students to the principles and procedures of source coding and channel encoding. Elaborate and explain the transmission of digital signals in the basic and transposed range and operation of time (TDMA), frequency (FDMA) and coding (CDMA) multiplex systems. Explain source encoding, channel and block coding procedures. Introduce students to the basic types of communication channels and their parameters, filters and methods of filtering digital signals as well as noise in digital communication systems.

Conditions for enrollment

Requirements met for enrolling in the third year of the study programme

Course description

Analysis of deterministic and random signals in time and frequency domains. Continuous signal discretisation. Formats and basic digital signal parameters. Spectral characteristics, noise sensitivity, error detection capability and digital signal synchronisation. M-ary signal. Basic principles of digital modulation procedures. Introduction to digital communication systems. Discrete modulation methods (ASK and MASK modulation, FSK, CPFSK MFSK modulation, PSK, MSK and MPSK modulation). Complex modulation schemes. Impulse modulation procedures (pulse amplitude (PAM), pulse width (PDM), pulse positioning (PPM) and pulse frequency (PFM) modulation). Digital modulation procedures (pulse-coded modulation (PCM) and delta modulation (DM)). Modulation of orthogonal signals (Walsh signals, wavelet signals). Transmission of digital signals in the basic bandwidth. Interference between symbols. Shading noise in the basic range. Transmission of digital signals in the transposed range. Spectral effectiveness and chance of error (BER) of digital communication systems. Signal / noise ratio (S/N), channel bandwidth and speed in digital communication systems. Impulse modulation of single - harmonic signal. Time multiplexing systems -TDMA and frequency multiplexer systems - FDMA. Source encoding. Channel encoding. Block encoding. Complex encoding schemes. Basic types of communication channels. Reconstruction of the carrier. Reconstruction in time domain: phase, clock, and signal edge detection. Filters and digital signal filtering procedures. Noise in digital communication systems. Detection of signal when noise is present.

Student requirements

Defined by the Student evaluation criteria of the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek and paragraph 1.9

Monitoring of students

Defined by the Student evaluation criteria of the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek and paragraph 1.9

Obligatory literature

1. 1 Ž. Novinc Digitalni prijenos informacija Zagreb: Kigen, 2009.

2. 2 Gallager Principles of Digital Communication Cambridge Univesity Press, 2008.

Pretraži literaturu na:

Recommended additional literature

1. 1 G. Lukatela Digitalne telekomunikacije Građevinska knjiga, Beograd, 1988.

2. 2 B. Modlic Visokofrekvencijska elektronika - Modulacija, modulatori, sintezatori frekvencije Školska knjiga, Zagreb 1982.

3. 3 J. G. Proakis Digital Communications, 4th ed. McGraw Hill, N.Y., 2000.

Course assessment

Conducting university questionnaires on teachers (student-teacher relationship, transparency of assessment criteria, motivation for teaching, teaching clarity, etc.). Conducting Faculty surveys on courses (upon passing the exam, student self-assessment of the adopted learning outcomes and student workload in relation to the number of ECTS credits allocated to activities and courses as a whole).

Overview of course assesment

Learning outcomes
Upon successful completion of the course, students will be able to:

1. define the basic concepts that appear in digital communication systems

2. analyse the spectral composition of digital signals as well as their synthesis using knowledge of the spectral composition

3. calculate the probability of a bit error when transmitting digital signals of different formats in the basic range and describe and distinguish different digital signal formats

4. apply three Nyquist criteria to prevent intersymbol interference in basic digital signal transfer systems

5. define basic procedures and principles of discrete modulation and pulse modulation. Define and describe M-ary discrete modulation of the sinusoidal signal, impulse modulation and digital modulation (PCM and DM) methods

6. define and describe time, frequency, and code multiplex systems. explain and describe source encoding and channel encoding

Aktivnosti studenta: Vidi tablicu aktivnosti