S. El Moukhlis

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In this paper, a method of classification of handwritten signature based on neural networks, and FPGA implementation is proposed. The designed architecture is described using Very High Speed Integrated Circuits Hardware Description Language (VHDL). The proposed application consists of features extraction from handwritten digit images, and classification(More)
The cognitive radio system is proposed as an optimal way to improve the frequency underutilization. Spectrum sensing is the first and the essential function in this approach. A cognitive user must sense his environment to detect the unused channels, and then he can use the free channel without causing any interference to the primary user. In this article,(More)
We present a Hardware/software (HW/SW) implementation of an artificial neural network aims at detecting whether or not that the targeted X ray images of breast contain cancerous cell. This system has been trained in order to approximate functions or to achieve classification from a limited number of data. We implemented our application on FPGA by using the(More)
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