fpga论文《BP神经网络图像压缩算法乘累加单元的FPGA设计》-fpga thesis "BP neural network image compression algorithm multiply-accumulate unit of FPGA design."

BP神经网络用于函数拟合与模式识别，基于SVPWM的三电平逆变的matlab仿真，包括压缩比、运行时间和计算复原图像的峰值信噪比。- BP neural network function fitting and pattern recognition, Based on SVPWM three-level inverter matlab simulation, Including compression ratio, image restoration computing uptime and

BP神经网络的整个训练过程,实现了图像的加水印，去噪，加噪声等功能，包括最后计算压缩图像的峰值信噪比和压缩效果的源码。- The entire training process BP neural network, Realize image watermarking, de-noising, plus noise and other functions, Including the final calculation of the compressed image peak signal to