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Zhang, Q., Cao, J., Zhang, Y., Zhang, S., Zhang, Q. and Yu, D. (2019) FPGA Implementation of Quantized Convolutional Neural Networks. IEEE 19th International Conference on Communication Technology (ICCT), Xi’an, 16-19 October 2019, 1605-1610. https://doi.org/10.1109/ICCT46805.2019.8947168

has been cited by the following article:

• TITLE: Color Image VGA Display Based on FPGA and OV7725

  AUTHORS: Zhongtian He

  KEYWORDS: FPGA, YUV, SDRAM Controller, VGA

  JOURNAL NAME: Open Access Library Journal, Vol.10 No.8, August 23, 2023

  ABSTRACT: In order to collect image data in real time, the main control chip based on Cyclone IV is the EP4CE10F17C8 as the main control chip. The image information is obtained through the camera and displayed on the VGA screen. The OV7725 camera is initialized by the SCCB bus, obtained the YUV data stream, and the video flow is cached to the SDRAM. Display through VGA. The YUV data obtained from the OV7725 sensor is used in FPGA to design circuits with Verilog language, convert RAW into RGB signals, and obtain color images.