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Upsampling

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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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相关实验视频

Updated: Jul 24, 2025

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通过压缩传感对单像素成像的常用算法的比较.

Wenjing Zhao1, Lei Gao1, Aiping Zhai1

  • 1College of Physics and Optoelectronics, Taiyuan University of Technology, No. 79 West Main Street, Taiyuan 030024, China.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
概括

单像素成像 (SPI) 使用单个探测器进行先进的成像. 本综述探讨了SPI的压缩传感技术,测量矩阵和重建算法,以增强超越传统限制的图像重建.

关键词:
压缩感应传感器 压缩感应处理光学信号的光学信号.一个像素的成像.

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科学领域:

  • 光学和光子学 在光学和光子学.
  • 信号处理 信号处理
  • 计算机成像成像技术

背景情况:

  • 传统的成像依赖于探测器阵列,面临着分辨率和成本的限制.
  • 单像素成像 (SPI) 提供了使用单像素探测器的替代方案.
  • 压缩传感 (CS) 可实现有效的信号采集和重建,适用于SPI.

研究的目的:

  • 审查单像素成像 (CS-SPI) 中压缩传感的概念.
  • 总结关键的测量矩阵和 CS-SPI 的重建算法.
  • 分析CS-SPI方法的性能,优点和缺点.

主要方法:

  • 用空间分辨模式照明目标.
  • 用单像素探测器进行压缩采样反射/传输强度.
  • 使用各种CS算法和测量矩阵重建图像.

主要成果:

  • 通过模拟和实验证明了CS-SPI的可行性.
  • 评估了不同CS-SPI方法的性能.
  • 总结了各种测量矩阵和重建算法之间的权衡.

结论:

  • CS-SPI提供了一种强大的方法来克服传统成像的局限性.
  • 测量矩阵和重建算法的选择显著影响CS-SPI性能.
  • 确定了CS-SPI的未来研究方向.