Institute of Information Theory and Automation

You are here

Home

AS

Statistical methods for estimation of uncertain systems

Faculty: 
Fakulta elektrotechnická ZČU
Course type: 
doktorandský
Semester: 
oba
Current: 
Ne

The aim of this subject is to teach theory and application of statistical tools that can be used to estimate systems with unknown parameters, unknown state of structure. The basic model to study is linear regression, which is the basis of the least squares method, however it can be used to model more advanced tasks such as structure estimation.

2024-02-16 09:31

Non-parametric Bayesian Models of Response Function in Dynamic Image Sequences

Algorithms for Blind Source Separation with different response functions (RF) priors can be downloaded here.
2015-09-23 14:09

Award in Rektorys competition

Ondřej Tichý from Adaptive systems has been awarded the 1st place in the 7th annual Rektorys competition in applied mathematics organized by Department of mathematics, FSv ČVUT, for the work "On Sparsity in Bayesian Blind Source Separation for Dynamic Medical Imaging".
2018-05-02 13:37

S-BSS-vecDC: Sparse Source Separation and Deconvolution Tool

The S-BSS-vecDC algorithm can be downloaded from here.
2014-09-15 18:06

Congratulations to Vašek Šmídl!

The project proposal "Source-Term Determination of Radionuclide Releases by Inverse Atmospheric Dispersion Modelling" was ranked as the second best of 389 proposals submitted within Czech-Norwegian Research Programme and awarded the grant. Congratulations!
2018-05-02 13:37

Congratulations to Vašek Šmídl!

The project proposal "Source-Term Determination of Radionuclide Releases by Inverse Atmospheric Dispersion Modelling" was ranked as the second best of 389 proposals submitted within Czech-Norwegian Research Programme and awarded the grant. Congratulations! 

2018-05-02 13:37

The tea seminar

Dear Colleagues,

you are cordially invited to the summer Cajovy dychanek (The tea seminar) with the topic "Dynamics of quasi-stable systems".

Date & Time: Wednesday, July 16, 14:00

Place: 477 or 474

Our guest is Prof.Igor Chueshov from Kharkov University, Ukraine.

Abstract: In this talk we explain main ideas of the recently developed approach in the study infinite dimensional dissipative systems. This approach covers wide classes of systems and allows to describe long-time dynamics in the terms of finite-dimensional attractors.

2018-05-02 13:37

Congratulations for Patents

Our congratulations to Karel Macek, a member of the team of inventors, who recently has been granted several US patents: Identifying Models of Dynamic Systems, Decision Support System Based on Energy Markets, and HVAC Controller with Regression Model to Help Reduce Energy Consumption

-----------------------------------------------------------------------------------------------------

2018-05-02 13:37

Ing. Pavel Hrabák, Ph.D.

This person is no longer active at UTIA.
Position: 
FIT, Department of Applied Mathematics
Research interests: 
Interacting particle systems in traffic modeling
2017-01-10 11:21

Distributed dynamic estimation in diffusion networks

Start: 
2014
End: 
2016
Leader: 
Doc. Ing. Kamil Dedecius, Ph.D.
Identification Code: 
GP14-06678P
Project Type (EU): 
other
Project Focus: 
teoretický
Web: 
http://diffest.utia.cas.cz/
Publications ÚTIA: 
list
2014-04-02 10:26

Pages

Subscribe to RSS - AS
Institute of Information Theory and Automation