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, Rui Miguel Henriques Dias Morgado Dinis


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.


[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

Presencial tests/exams

Students with special covid status make online tests
Online tests are different of presencial tests, have different duration and higher grades need to be defended.

The classification is defined by the arithmetic average of the tests or by the exam.

The students can repeat one test in the date of the exam.

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: