基于圆曲线的高效确定性测量矩阵用于微地震数据采集
Haiqiang Liu1,2, Guangjian Ge3, Ze Jiang2
1School of Computer Engineering, Jinling Institute of Technology, Nanjing, China.
PloS one
|August 20, 2025
概括
这项研究引入了一种新的确定性测量矩阵,用于获取微地震数据. 它提高了传感器网络中地质灾害预测的计算效率和重建准确性.
科学领域:
- 地质学和地震学
- 信号处理
- 信息理论
背景情况:
- 微地震监测对于预测地质灾害至关重要.
- 现有的压缩传感方法在传感器网络中面临着计算复杂性和准确性的挑战.
研究的目的:
- 开发一种新的确定性测量矩阵,以获得高效准确的微地震数据.
- 在资源有限的环境中解决当前压缩传感方法的局限性.
主要方法:
- 建议使用圆曲线伪随机序列的确定性测量矩阵.
- 对已建立的矩阵进行计算复杂性,相互连贯性和重建性能分析.
主要成果:
- 拟议的矩阵需要较少的操作 ([公式:见文本]添加).
- 与高斯随机,混沌,PEG和伯努利矩阵相比,它具有较低的相互连贯性.
- 实验结果表明,在无噪声和噪声条件下,重建的准确性更高.
结论:
- 基于圆曲线的矩阵提供了更高的计算效率和重建准确性.
- 这种解决方案非常适合实时,能源有限的微地震监测应用.
- 这些发现提升了地质危险评估的压缩传感技术.
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