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Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
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相关实验视频

Updated: Jun 25, 2025

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
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一个改进的同步挤压S转换及其在GPR检测任务中的应用.

Hongqiang Xiong1, Baizhou An2, Boyang Sun2,3

  • 1College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China.

Sensors (Basel, Switzerland)
|May 25, 2024
PubMed
概括

同步挤压通用移相S变换 (SS-GPST) 通过改善光谱聚焦和减少噪声来增强地面透雷达 (GPR) 数据分析. 这种新方法为GPR应用提供了卓越的准确性和速度.

关键词:
这就是S-转换.穿透地面的雷达可以通过地面穿透雷达.同步挤压是同步挤压.道检查检查 道检查检查

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科学领域:

  • 地质物理学 地质物理学
  • 信号处理 信号处理

背景情况:

  • 在地面穿透雷达 (GPR) 数据处理中,S变换对于时间频率分析至关重要.
  • 在S变换中的频谱泄漏会降低GPR应用中的准确性,例如目标识别和成像.
  • 同步挤压有效地减轻了频谱泄漏.

研究的目的:

  • 引入同步压缩通用相位移 S 变换 (SS-GPST) 改进 GPR 数据分析.
  • 通过相位转移解决S转换和同步挤压之间的兼容性.
  • 在GPR数据中增强光谱能量聚焦和分辨率.

主要方法:

  • 开发了同步挤压通用化相位移 S 变换 (SS-GPST).
  • 利用相位转移来整合S转换和同步挤压.
  • 采用了用于光谱聚焦和分辨率增强的通用参数.

主要成果:

  • 与合成测试中的其他方法相比,SS-GPST在聚焦,光谱分辨率和信号重建准确性和速度方面表现出了卓越的表现.
  • 在GPR道检测数据中,SS-GPST准确地确定了薄层 (3.0-3.5厘米).
  • 由于干扰组件减少,SS-GPST证明了GPR数据通过逆变换的无效.

结论:

  • SS-GPST提供高分辨率的时间频谱,具有强烈的聚焦和最小的干扰.
  • 该方法在各种GPR数据处理任务中显示出显著的适应性,包括denoising和薄层检测.
  • 在GPR分析中,SS-GPST具有替代传统S转换的潜力.