Guia docente 2012_13 E. S. de Ingeniería Informática

Máster Universitario en Sistemas Software Intelixentes e Adaptables

Subjects

Transformadas

Learning aims

english

Expected results from this subject

Typology

Training and Learning Results

Know and understand the basic concepts of abstract vector spaces and how this relates to the Fourier and Wavelet theory. This objective includes the following: a. Learn aspects about the theory and techniques of Fourier and Wavelets series/transforms in order to be able to integrate them into problems in artificial intelligence. b. To have a deeper understanding of the mathematical theory of complex vector spaces, both analytically and by numerical analysis, in order to understand how and when to use transformed to solve real problems.

know

Know How

A2
A3
A6
A7
A8
A10
A17
A18
A19

B5
B8
B10
B14
B16
B18

Be able to use the theory of transforms in real situations, specifically in the following manner: a. Show the connection between the theory of Fourier and Wavelets. b. Learn short time Fourier transform for such problmes as the analysis of voice, audio and images. c. Interpret and assess algorithms based on Fourier and wavelet transforms. d. Disign, develop and evaluate algorithms based on Fourier transforms, and wavelet filtered signals. d. Propose, analyze, validate and interpret different bases of orthogonal functions and Wavelets for specific problems, and be able to choose the best basis in each case.

know

Know How

A1
A3
A4
A5
A6
A7
A8
A9
A10
A11
A17
A18
A19
A25

B1
B5
B8
B18
B20