Trong Tu Bui

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In this paper, a low-power Hamming distance associative processor employing time-domain techniques has been developed focusing on the implementation of an r-th nearest-match location identification function. The architecture not only inherits advantages of analog implementations on power consumption but also improves the accuracy of such implementations.(More)
Data-matching function plays an essential role in a number of information processing systems, such as those for voice/ image recognition, codebook-based data compression, image coding, data search applications etc. In order to implement such functions effectively, both proper data representation algorithms and powerful search engines are essential.(More)
Volume 1, Issue 3, September – October 2012 Page 177 Abstract: In this paper, we present two hardware architectures for an image feature vector extraction based on the Pulse-Coupled Neural Network (PCNN) algorithm. They are RAM-based model and pipelined model. Both models can generate a feature vector at the speed of more than 2000 vectors per second when(More)
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