Objectives of Programme's Learning Outcomes

• Master expertise.
• Have developed the knowledge and skills acquired in the previous cycle to a level that extends beyond the Bachelor's course in Physics, and which provides the basis for the development and implementation of original ideas in a professional context.
• Have acquired knowledge and a thorough understanding of specialist areas of physics in connection with mathematics and/or advanced laboratory practices required for these sectors.

Learning Outcomes of UE

understand the theory required for developing a library of basic digital signal processing components (sampling, convolution, filtering, poles and zeros in the z plane, FFT, sub-band analysis, );implement these components in PYTHON.

UE Content: description and pedagogical relevance

linear time-invariant digital systems; frequency analysis of digital signals and systems; Shannon theorem and sampling theory; discrete (and Fast) Fourier Transform; digital filters (including elements of digital filter synthesis); simple digital system in PYTHON.

Prior Experience

Not applicable