针对图像采集传输中高斯噪声(awgn)导致的细节丢失问题，研究人员提出双分支特征提取网络dbfe-net，创新整合rusa模块的u型空间注意力与rma模块的多级残差注意力机制，在5个合成数据集和2个真实数据集上实现超越现有方法的去噪性能，为医学影像等关键领域提供鲁棒解决方案。

Edmonton, Canada – December 22, 2009 – Ukalta Engineering today announced the commercial availability of its Gaussian noise generator Intellectual Property (IP) cores. With the smallest footprint, ...

Fixed-Point AWGN Channel. The Creonic AWGN Channel IP is a noise generator capable of processing up to a maximum of 512 symbols in parallel. The IP was developed with the aim o... You must be ...

The WGN Series of AWGN generators also is available from dBm, with models covering applications requiring a passband as high as 3,600 to 4,200 MHz. A ...