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

基于C#的小型酒店住宿管理系统的设计与实现,很具体的分析了方法思路

BMI160使用说明 原版The BMI160 is a small, low-power, low-noise 16 bit Inertial Measurement Unit designed for use in mobile applications such as augmented reality or indoor navigation which require highly accurate, real-time sensor data. In full operation mode, with both the accelerometer and gyroscope enabled, the current consumption is typically 925 μA, enabling always-on applications in battery driven devices. It is available in a compact 14-pin 2.5 × 3.0 × 0.8 mm3 LGA package.

Small Object 数据集是由香港城市大学提供，包含微小物体的图像文件，用以微小实例分割任务，目前有四类图像组成，分别为鱼、苍蝇、蜜蜂和海鸥