Course detail

New trends in the analysis and classification of biomedical data

FEKT-DBT2Acad. year: 2017/2018

Not applicable.

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Learning outcomes of the course unit

Not applicable.

Prerequisites

Not applicable.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teaching methods include lectures and computer laboratories. Course is taking advantage of e-learning system. Students have to write a single project/assignment during the course.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

Not applicable.

Specification of controlled education, way of implementation and compensation for absences

Not applicable.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Norden E. Huang et al., The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis, Proc. Roy. Soc. London 454 (1998) 903–995. (EN)
Norden E. Huang et al. On Instantaneous Frequency, Advances in Adaptive Data Analysis, World Scientific Publishing Company ,Vol. 1, No. 2 (2009), 177–229 (EN)
Eivind Kvedalen, Signal processing using the Teager Energy Operator and other nonlinear operators, Cand. Scient Thesis, Univ. of Oslo, May 2003. (EN)
Yu-Hsiang Wang, The Tutorial: S Transform, National Taiwan University, Taipei, ROC, 2010, pp. 1-23. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.694.8727&rep=rep1&type=pdf (EN)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme BTB-PK Doctoral

    branch PK-BTB , 1. year of study, summer semester, optional specialized

  • Programme BTB-PP Doctoral

    branch PP-BTB , 1. year of study, summer semester, optional specialized

Type of course unit

 

Seminar

39 hours, optionally

Teacher / Lecturer