Time-Frequency Analysis, Adaptive Filtering
and Source Separation

Welcome to the course webpage

 

COURSE DESCRIPTION
AIM:	This course provides analytical tools for combined time and frequency analysis for biomedical signals.
LEARNING OUTCOMES:	See course curriculum for detailed intended learning outcomes.
STYLE AND ASSESSMENT:	Each lecture is 4 hours: Classroom lectures for 2 h and exercises for 2 h.
EVALUATION:	Mini-project with oral defense.
MAIN LITERATURE:	Leon Cohen - Time-Frequency analysis John L. Semmlow - Biosignal and Biomedical Image Processing - Matlab-Based Applications
COURSE PLAN AND MATERIALS

Lecture	Lecturer	Topic and Materials	Literature	Learning Expectation
Lecture 1	José Biurrun Manresa	Introduction to Joint Time Frequency Analysis Slides | Exercises | Solutions	Cohen: ch. 6-7 Semmlow: ch. 6, 139-146	Deep Learning
Lecture 2	José Biurrun Manresa	Wigner-Ville distribution Slides | Exercises | Solutions	Cohen: ch. 8 Semmlow: ch. 6, 147-151	Deep Learning
Lecture 3	José Biurrun Manresa	Kernel properties and design in Cohen's class time-frequency distributions Slides | Exercises | Solutions	Cohen: ch. 9-12 Semmlow: ch. 6, 152-164	Deep Learning
Lecture 4	Ernest Nlandu Kamavuako	Continuous wavelet transform Slides | Exercises | Solutions signal_1 , signal_2	Semmlow: ch. 7, 165-173 Wavelet tutorial 1 Wavelet Tutorial 2	Deep Learning
Lecture 5	Ernest Nlandu Kamavuako	Discrete wavelet transform and multi-resolution analysis (MRA) Slides | Exercises | Solutions	Semmlow: ch. 7, 174-189 Wavelet tutorial 1 Wavelet Tutorial 2	Deep Learning
Lecture 6	Ernest Nlandu Kamavuako	Filter Banks, Wavelet packets and parameterization Slides | Exercises | Signal	Semmlow: ch. 7, 174 -192 Nielsen et al 2006 Wavelet Tutotial 2	Deep Learning
Lecture 7 & 8	Ernest Nlandu Kamavuako José Biurrun Manresa	Workshop Slides Part 1 | Slides Part 2	Scientific Papers	Facilitation
Lecture 9	José Biurrun Manresa	Adaptive Filtering Slides | Exercises | Solutions	Semmlow: ch. xx	Basic knowledge
Lecture 10	José Biurrun Manresa	Source Separation Slides | Exercises | Solutions	Semmlow: xx	Basic knowledge
Lecture 11 & 12	Ernest Nlandu Kamavuako José Biurrun Manresa	Mini-Project	-	Exam

EVALUATION

Mini-project with oral defense. Students will be put in groups of maximum 4 people each. Each group will be provided with previously recorded biological signals with a clearly stated research question that the group has to solve. Each group has to deliver a small report (max 2 A4 pages), but the mini project will be defended individually in an oral session (during the examination period) in order for us to assess the theoretical level of each student.