By Topic

The use of linear projections in the visual analysis of signals in an indoor optical wireless link

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Faith, J. ; Sch. of Eng., Comput., & Inf. Sci., Northumbria Univ., Newcastle upon Tyne, UK ; Rajbhandari, S.

Wavelets can be used to transform a signal into a multi-dimensional signal where each dimension represents one wavelet resolution, such that a machine learning classifier, such as artificial neural network (ANN), may be used to then classify the received signal and recover the transmitted information. Since there is no upper limit for wavelet resolution and wavelet resolution produces highly redundant coefficients, computational difficulties are when signal need to be classified. Here we demonstrate the use of dimension reduction techniques to visualise indoor optical wireless communication (OWC) signal in the presence of artificial light interference, scale reduction technique to for efficient classification and the resulting decoding errors.

Published in:

Communication Systems Networks and Digital Signal Processing (CSNDSP), 2010 7th International Symposium on

Date of Conference:

21-23 July 2010