search query: @keyword ICA / total: 23
reference: 3 / 23
« previous | next »
Author:Basiri, Shahab
Title:Hypothesis Testing in Independent Component Analysis / Blind Source Separation
Publication type:Master's thesis
Publication year:2014
Pages:vi + 52      Language:   eng
Department/School:Sähkötekniikan korkeakoulu
Main subject:Signaalinkäsittely   (S3013)
Supervisor:Koivunen, Visa
Instructor:Ollila, Esa
Electronic version URL: http://urn.fi/URN:NBN:fi:aalto-201403061525
OEVS:
Electronic archive copy is available via Aalto Thesis Database.
Instructions

Reading digital theses in the closed network of the Aalto University Harald Herlin Learning Centre

In the closed network of Learning Centre you can read digital and digitized theses not available in the open network.

The Learning Centre contact details and opening hours: https://learningcentre.aalto.fi/en/harald-herlin-learning-centre/

You can read theses on the Learning Centre customer computers, which are available on all floors.

Logging on to the customer computers

  • Aalto University staff members log on to the customer computer using the Aalto username and password.
  • Other customers log on using a shared username and password.

Opening a thesis

  • On the desktop of the customer computers, you will find an icon titled:

    Aalto Thesis Database

  • Click on the icon to search for and open the thesis you are looking for from Aaltodoc database. You can find the thesis file by clicking the link on the OEV or OEVS field.

Reading the thesis

  • You can either print the thesis or read it on the customer computer screen.
  • You cannot save the thesis file on a flash drive or email it.
  • You cannot copy text or images from the file.
  • You cannot edit the file.

Printing the thesis

  • You can print the thesis for your personal study or research use.
  • Aalto University students and staff members may print black-and-white prints on the PrintingPoint devices when using the computer with personal Aalto username and password. Color printing is possible using the printer u90203-psc3, which is located near the customer service. Color printing is subject to a charge to Aalto University students and staff members.
  • Other customers can use the printer u90203-psc3. All printing is subject to a charge to non-University members.
Location:P1 Ark Aalto  1143   | Archive
Keywords:ICA
hypothesis testing
fast and robust bootstrap
confidence interval
Abstract (eng):Independent component analysis (ICA) is a widely used technique for extracting latent (unobserved) source signals from observed multidimensional measurements.
Up to date, the estimation problems in ICA are thoroughly studied whereas the statistical inference (hypothesis testing) in ICA is still in its infancy.
In this thesis we construct fast and robust bootstrap hypotheses on the coefficients of the mixing matrix in ICA model to investigate contribution of a specific source signal-of-interest onto a specific sensor (mixture variable).
Such testing procedure can be used e.g. to detect if a mixture is severely affected by a specific kind of noise or to propose an optimum setup of the recording sensors, which facilitates dimensionality reduction in high-dimensional signal separation problems.
The fast and robust bootstrap method has given the tests great potential of being used in real-world ICA analysis of high-dimensional data sets e.g. in biomedical applications.
ED:2014-03-06
INSSI record number: 48740
+ add basket
« previous | next »
INSSI