Separation of VLC signals using FastIca and InfoMax

This paper proposes two methods of separation of VLC signals, based on the stadistical variation 1) FastIca and 2) InfoMax, the first one based in the stadistical covariance of the negentrophy and the second one based in the artificial neural network for the analysis of covariance of the values from signals. This values are results of a simulation and experimental transference of information through Visible Light Communication, the simulation without noise, and the experimental process with noise.

[1]  Mohammad Hassan Moradi,et al.  Independent component analysis approach using higher orders of Non-Gaussianity , 2017, 2017 Iranian Conference on Electrical Engineering (ICEE).

[2]  Claudio Moraga,et al.  A Robust and Effective Learning Algorithm for Feedforward Neural Networks Based on the Influence Function , 2003, IbPRIA.

[3]  Jean-Paul M. G. Linnartz.  Wireless optical communication in illumination systems , 2016, 2016 IEEE Photonics Society Summer Topical Meeting Series (SUM).

[4]  I. P. Waldmann.  Of 'cocktail parties' and exoplanets : data analysis in exoplanetary spectroscopy , 2012 .

[5]  Puneet Mishra,et al.  Artifact Removal from Biosignal using Fixed Point ICA Algorithm for Pre-processing in Biometric Recognition , 2013 .

[6]  Zabih Ghassemlooy,et al.  Optical Wireless Communications: System and Channel Modelling with MATLAB® , 2012 .

[7]  Nitin Kandpal,et al.  Implementation of PCA & ICA for voice ecognition and separation of speech , 2010, 2010 IEEE International Conference on Advanced Management Science(ICAMS 2010).

[8]  Francisco Casacuberta Nolla.  Redes Neuronales Artificiales , 1998 .

[9]  Jarno M. A. Tanskanen,et al.  Independent Component Analysis of Parameterized ECG Signals , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[10]  X. B. Olabe.  Redes Neuronales Artificiales y sus Aplicaciones , 2008 .

[11]  S. N. Talbar,et al.  Visual Light Communication Using LED , 2013, 2013 Texas Instruments India Educators' Conference.

[12]  H. T. Kung,et al.  Infomax-ICA using Hessian-free optimization , 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[14]  Erkki Oja,et al.  Independent component analysis: algorithms and applications , 2000, Neural Networks.