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Electrical Brain signals can be used for developing non-muscular communication and control systems, Brain-Computer Interfaces (BCIs) for people with motor disabilities. The performance of a BCI relies on the measured components of the brain activity, and on the feature extraction achieved by the spatial and temporal filtering methods applied prior to its translation into commands. In the present study...
In this paper, an implementation of an educational platform for real‐time linear and morphological image filtering using a FPGA NexysII, Xilinx®, Spartan 3E, is described. The system is connected to a USB port of a personal computer, which in that way form a powerful and low‐cost design station for educational purposes. The FPGA‐based system is accessed through a MATLAB graphical user interface, which...
Field Programmable Gate Array (FPGA) technology has become a viable target for the implementation of real time algorithms suited to video image processing applications. The unique architecture of the FPGA has allowed the technology to be used in many applications encompassing all aspects of video image processing. Among those algorithms, linear filtering based on a 2D convolution, and non-linear 2D...
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