Digital Communications 2

Објавено: October 12, 2018
  1.    Course Title Digital Communications 2
  2.    Code 3ФЕИТ10Л012
  3.    Study program TKII
  4.    Organizer of the study program (unit, institute, department) Faculty of Electrical Engineering and Information Technologies
  5.    Degree (first, second, third cycle) First cycle
  6.    Academic year/semester III/6   7.    Number of ECTS credits 6.00
  8.    Lecturer Dr Aleksandar Risteski
  9.    Course Prerequisites Passed: Information Theory Taken course: Communication systems

10.  Course Goals (acquired competencies):  Introduction of the need to apply different coding in modern digital telecommunication systems. Line coding properties. Properties of modulation techniques with memory. Knowledge of various channel coding schemes for increasing the confidentiality of the transmission. Decoding techniques. Knowledge of the concept for code concatenation and iterative decoding. Application of coded sequences for expanding signal spectrum.

11.   Course Syllabus: Introduction. Need of codes. Classification. Scrambling. Line codes and their spectra. Application of line codes. Channel coding. Linear block codes. Generator matrix and parity control matrix. Cyclic codes. BCH and Reed-Solomon codes. Hard and soft decoding of block codes. Performances and comparison. Convolutional codes. Generating and presenting convolutional codes. Transfer function. Hard and soft decoding of convolution codes. Viterbi algorithm. Performance and comparison. Trellis coded modulation. Application of simple and complex trellis codes. Viterbi decoding of trellis codes. Modulation with memory: CPFSK, MSK CPM, their performance and their spectral power density. Coding concatenations. Serial, parallel, hybrid concatenation. Principles for their iterative decoding. Turbo codes. Iterative decoding of a turbo-coded scheme. Performance of turbo codes. LDPC codes. Decoding and performance. Application of coding sequences for transmission of signals with expanded spectrum. Direct Sequence Spread Spectrum signals. Generation of PN sequences.

12.    Learning methods:  Lectures, tutorial and laboratory classes, individual student projects and seminar works.

13.    Total number of course hours 3 + 1 + 1 + 0
14.    Distribution of course hours 180
15.    Forms of teaching 15.1. Lectures-theoretical teaching 45
15.2. Exercises (laboratory, practice classes), seminars, teamwork 30
16.    Other course activities 16.1. Projects, seminar papers 10
16.2. Individual tasks 10
16.3. Homework and self-learning 85
17.    Grading 17.1. Exams 10
17.2. Seminar work/project (presentation: written and oral) 10
17.3. Activity and participation
17.4. Final exam 80
18.    Grading criteria (points) up to 50 points     5 (five) (F)
from 51 to 60 points     6 (six) (E)
from 61 to 70 points     7 (seven) (D)
from 71 to 80 points     8 (eight) (C)
from 81 to 90 points     9 (nine) (B)
from 91 to 100 points   10 (ten) (A)
19.    Conditions for acquiring teacher’s signature and for taking final exam Regular participation to lectures and tutorial classes and completion of all laboratory exercises.
20.  Forms of assessment During the semester, two partial written exams are taken (at the middle and at the end of the semester, with a duration of up to 90 minutes) and tests , which are conducted during the classes. The final grade includes the points from the partial exams and tests.
During the exam sessions a written exam is taken (with a duration of up to 120 minutes). The final grade includes points form the exam tests.
A special instruction published before each exam regulates the manner of taking the exam and the use of teaching aids and electronic devices during the exam
21.  Language Macedonian and English
22.   Method of monitoring of teaching quality Internal evaluation and polls.
23.  Literature
23.1. Required Literature
No. Author Title Publisher Year
1 J. G. Proakis Digital Communications McGraw-Hill 2001