SMI - Center for Sensory-Motor Interaction

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.
 
SMI, Fredrik Bajers Vej 7 D3, DK-9220 Aalborg, Denmark, Tel: +45 9940 8827, Fax: +45 9815 4008, E-mail: Contact-SMI |