High Capacity Transmission


At the end of this curricular unit the student will have acquired the knowledge, skills and competences that allow to:

- Know the physical limit of digital transmission of information

- Base-band and bandpass digital transmission techniques, including aspects such as spectral and power efficiency.

- Transmitter and receiver characterization for these types of signals, as well as appropriate signal processing algorithms.

- Channel codification techniques and coding/decoding algorithms.

- Become familiar with high capacity digital transmission techniques employed in modern digital communication systems

- Solid theoretical bases and abilities that allow a professional activity in the telecommunications area, or more advanced studies.

General characterization





Responsible teacher

Paulo da Costa Luís da Fonseca Pinto, Paulo Miguel de Araújo Borges Montezuma de Carvalho


Weekly - 4

Total - 48

Teaching language



The students must be comfortable with complex and integral calculus and Fourier analysis . It is also necessary previous attendance, with success, on Introduction to the Telecommunications and Telecommunications Systems.


Topics of High Capacity Transmission, R. Dinis, 2022 

[1] S. Haykin, Communication Systems, John Wiley, 2008.
[2] A. Carlson, Communication Systems, McGraw-Hill, 2001.

Information theory [1, Cap. 9], [2, Cap. 16]
Random signals    [1, Cap. 1], [2, Cap. 8-9]
Detection theory    [1, Cap 5], [2, Cap. 16]
Line codes    [1, Cap. 4], [2, Cap. 11]
ISI-free transmission over bandlimited channels    [1, Cap. 4], [2, Cap. 11]
Digital modulations    [1, Cap. 6], [2, Cap. 14]
Channel coding    [1, Cap. 10], [2, Cap. 13]

Teaching method

The theoretical part of the course is given in 2-hour classes, followed by 2-hour practical classes where application problems are solved.

Evaluation method

2 tests, each with weight 40%, or an exam with weight 80% (minimum average9.5).
1 work with weight 20% (minimum grade 9.5)

Subject matter

- Elements of information theory

        - Source coding

        - Channel capacity

- Digital transmission

        - Baseband and bandpass transmission

        - Power spectral efficiency of digital signals

        - Optimum receiver

        - Performance of digital modulations

        - Equalization

- Channel coding

        - Block codes

        - Convolutional codes

        - Performance

        - Error control strategies

- Advanced codes

        - Turbo-codes

        - LDPC codes

        - Polar codes


Programs where the course is taught: