Digital Communications 2
Course title: Digital Communications 2
Code: FEIT10L021
Number of credits (ECTS): 6
Weekly number of classes: 3+1+1+0
Prerequisite for enrollment of the subject: Passed: Random Signals and Theory of informations, Taken course: Digital Communications 1
Course goals/Competences: Introducing the necessity of different codings schemes in modern digital telecommunications systems. Properties of linear codes and modulations with memory. Study of different coding schemes for increasing the reliability of transmission and their decoding. Code concatenation concept and iterative coding. Spread spectrum signals.
Total available number of classes: 180
Curriculum: Line codes and their spectral characteristics. Modulations with memory: CPFSK, MSK, CPM. Introduction to channel coding – concepts of ARQ and FEC coding schemes. Elements of finite fields (Galois fields). Linear block codes: Hamming codes. Cyclic codes. BCH and Reed-Solomon codes. Convolutional codes. Soft-decision and hard-decision decoding. ML Sequence estimation – Viterbi algorithm. Trellis coded modulation. Turbo codes. Spread-spectrum signals. Direct-sequence spread-spectrum signals. Pseudo-random (pseudo-noise) sequences.
Literature:
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Literature |
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Compulsory literature |
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No. |
Author |
Title |
Publisher |
Year |
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1 |
J. G. Proakis |
Digital Communications |
McGraw-Hill |
2001 |
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2 |
Tatjana Ulchar – Stavrova |
Theory of Informations
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FEIT – Skopje |
1995 |
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3 |
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Internal script for DCT2 (theory and exercises) |
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Further literature |
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No. |
Author |
Title |
Publisher |
Year |
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1 |
John G.Proaksin and Massoud Salehi |
Digital Communications, fifth edition |
|
2010 |
