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Course unit, curriculum year 2024–2025

Digital Communication, 5 cr

Tampere University
Teaching periods
Active in period 3 (1.1.2025–2.3.2025)
Active in period 4 (3.3.2025–31.5.2025)
Course code
Language of instruction
Academic years
2024–2025, 2025–2026, 2026–2027
Level of study
Syventävät opinnot
Grading scale
Yleinen asteikko, 0-5
Persons responsible
Mikko Valkama
Simona Lohan
Informaatioteknologian ja viestinnän tiedekunta 100 %
Järjestävä organisaatio
Sähkötekniikan opetus 100 %
Core content
  • Synchronization basics
    - concepts of time, phase and frequency synchronization in digital communications receivers
    -some basic algorithms to acquire synch
  • Information Theoretic Foundation of Electical Communication:
    - Information, entropy, and mutual information;
    - Maximal mutual information and channel capacity;
    - Source coding vs. channel coding.
    - Capacity of frequency-selective and fading channels
  • Baseband and Bandpass Digital Communication:
    - Bits, symbols, and waveforms;
    - Baseband pulse amplitude modulation (PAM), Nyquist pulse-shaping, line coding;
    - Linear I/Q modulation, real and complex symbol alphabets;
    - Digital frequency modulation techniques.
  • Performance of Digital Communication Chains:
    - Effects of additive noise, symbol & bit errors and their probability, Gray mapping;
    - Spectral efficiency and related concepts, connections to channel capacity theorem.
    - Effects of fading on the symbol and bit errors
  • Detection Theory and Intersymbol Interference (ISI) Mitigation:
    - Basics of statistical decision making and detection, maximum likelihood (ML) and maximum a posteriori (MAP) principles;
    - Signal space concepts and connection to practical waveforms, sufficient statistics;
    - Detection of single symbols, matched filtering (MF);
    - Detection of symbol sequences;
    - Optimal receiver front-end, signal space arguments, intersymbol interference (ISI);
    - Zero-forcing (ZF), mean-squared error (MSE) and other optimization principles;
    - ML sequence detection and Viterbi algorithm;
    - Channel equalization, linear vs. nonlinear equalizers, adaptive techniques.
  • Error Control Coding in Digital Communication Systems:
    - Error detection vs. correction vs. prevention, redundancy;
    - Hard and soft decoding, coding gain;
    - Block codes and convolutional codes,
    Viterbi decoding;
    - Coded modulation and trellis codes;
    - Interleaving, puncturing.
    - Basic ideas and application of Turbo codes, LDPC codes and Polar codes.
Complementary knowledge
  • - Basics of partial response (PR) signaling
    - Scrambling
    - Carrier and symbol timing recovery (synchronization)
  • - Various adaptive filtering algorithms and their relative performance; convergence properties and other essential characteristics
Learning outcomes
Compulsory prerequisites
Further information
Learning material
Studies that include this course
Completion option 1
Mandatory requirements: Exam or two midterm exams and Matlab project. It is also possible to pass the course (with grade 1) without taking the exam, by actively attending the learning events and completing the project work.
Completion of all options is required.


No scheduled teaching

Osallistuminen opetukseen

10.01.2025 29.05.2025
Active in period 3 (1.1.2025–2.3.2025)
Active in period 4 (3.3.2025–31.5.2025)