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In this paper, architecture of a Real-Time Cellular Neural Network (CNN) Processor (RTCNNP-v2) is given and the implementation results are discussed. The proposed architecture has a fully pipelined structure, capable of processing full-HD 1080p@60 (1920 1080 resolution at 60 Hz frame rate, 124.4 MHz visible pixel rate) video streams, which is implemented on both high-end and low-cost FPGA...
A new processor architecture implementing the Discrete Time Cellular Neural Networks (DT-CNN) on FPGA is proposed. This architecture intends to process video images real time with 3times3 CNN templates and without the use of an external memory. The absence of the external memory decreases the cost and complexity of the system. The architecture is based on a single pipelined cell which is employed...
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