我们特别关注以下三个方面：（1）全面回顾了近年来在探索知识迁移的力量方面取得的进展，特别是在元学习方面；（2）介绍了将人类/专家知识纳入机器学习模型的前沿技术；（3）确定了开放的挑战数据增强技术，如生成性对抗网络。

如在嵌入系统中使用C语言替代汇编一样,在嵌入系统中使用RTOS是大势所趋。原因主要是现在在大多数情况下编程效率比执行效率重要（单片机便宜嘛）。但纵观51的RTOS，keil c51 所带的RTX Full 太大（6k多），且需要外部ram，又无源代码，很多时候不实用。RTX Tiny虽然小（900多字节），但是任务没有优先级和中断管理，也无源代码，也不太实用。而ucosII虽有源代码，但是它太大，又需要外部ram，所有函数又必须是重入函数，用在51这类小片内RAM的单片机上有点勉强。虽然它为51系列编写，但是它还是比较容易移植到其它CPU上。

本资料为博文辅助内容，0积分下载，CSDN不要给我涨积分！！！

We apply graph matching method to detect infrared small moving targets using image sequences. Candidates (interest points) detected in the first frame form one graph and the same candidates in the last frame form another one. The real moving targets are extracted by matching these two graphs. Experimental results demonstrate that the proposed method is robust and efficient to the translation and rotation of the background.

ConvNext官方预训练模型（small版本）

这是经典文献Massive MIMO and Small Cells Improving Energy Efficiency by Optimal Soft-Cell Coordination 的matlab代码，绝对有效。

比较经典的机械振动信号，分为高频、中频和低频，可用在实验中

电脑软件Small PDF转换软件

In this paper we propose acoustic direction of arrival (DOA) estimation with neural networks. Conventional signal processing tasks such as DOA estimation have benefited from recent advancements in deep learning, which leads to a data-driven approach that allows neural networks to be employed in a black-box manner. From traditional aspects, modern network models often lack interpretability when directly employed in signal processing realm. As an alternative, we introduce a learnable network from