Paulo Da Cunha Possa

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In this paper, we present a FPGA based flexible self-adapting architecture for two features detectors, the Canny edge detector and the Harris corner detector, with reduced latency and memory requirements, and supporting variable resolution images. The new architecture uses neighbourhood extractors that can self-adapt its parameters on-the-fly and algorithm(More)
In this paper we present a novel approach to reduce the computation burden of a Field Programmable Gate Array based beamforming localization algorithm. This approach combines GCC (Generalize Cross Correlation) and DSB (Delay and Sum Beamforming). In this work, we reduce the position search spectrum by detecting the direction of arrival of the sound source(More)
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