Comparison between two ICA methodologies to separate mixed signals obtained from a VLC channel.
Publish Year: 1397
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
WACOWC01_030
تاریخ نمایه سازی: 11 شهریور 1397
Abstract:
In this work the separation of signals is developed by the traditional ICA method and the ICA that incorporates a neural network. These mixed signals are obtained from a VLC channel, this signal after being received is processed by these two methods and it is determined which of the two ICA methodologies is the most efficient. The first method commonly called FastICA is based on the covariance of the Negentropy, while the second uses a neural network in conjunction with the covariance, this method is commonly called InfoMax. The results obtained for both methods are satisfactory, especially with the second one, confirming in this way also the reliability of the VLC (Visible Light Communication) channel
Authors
Enrique San Juan
Electrical Engineer Department, University of Santiago of Chile
Ismael Soto
Electrical Engineer Department, University of Santiago of Chile
Pablo Adasme
Electrical Engineer Department, University of Santiago of Chile
Fabian Seguel
Electrical Engineer Department, University of Santiago of Chile