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相关概念视频

Downsampling01:20

Downsampling

154
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
154
Upsampling01:22

Upsampling

232
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...
232

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相关实验视频

Updated: Jun 28, 2025

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
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一个基于灰度尺度形态学的量子合成光圈雷达图像消噪算法.

Lu Wang1,2,3, Yuxiang Liu1,3,4, Fanxu Meng5

  • 1School of Information Science and Engineering, Southeast University, No.2, Southeast University Road, Nanjing 211189, Jiangsu, China.

iScience
|April 19, 2024
PubMed
概括

这项研究引入了一种用于合成光圈雷达 (SAR) 图像的新型量子消噪算法,有效地消除了像斑点这样的倍数噪声. 量子形态学方法比经典方法提供了显著的速度改进.

关键词:
算法算法是一种算法.量子物理学的量子物理学

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科学领域:

  • 量子计算是一种量子计算.
  • 图像处理 图像处理
  • 遥感 遥感 遥感 遥感

背景情况:

  • 现有的量子消噪算法仅限于添加噪声,未能解决SAR图像中普遍存在的乘法噪声.
  • 在SAR图像中的斑点噪声显著降低了图像质量,并阻碍了分析.
  • 形态操作为图像处理中的降噪提供了一个潜在的方法.

研究的目的:

  • 为SAR图像提出了一种新的量子消除算法.
  • 为了解决现有算法在处理倍数噪声方面的局限性.
  • 为了实现SAR图像消噪的显著计算加速度.

主要方法:

  • 基于灰度尺度形态学的量子算法开发,用于SAR图像无声化.
  • 设计一个可行的量子加法器,用于循环转移操作.
  • 构建用于形态操作 (膨胀和侵蚀) 的量子电路.

主要成果:

  • 拟议的量子算法有效地从SAR图像中去除倍增噪声,例如斑点.
  • 与经典算法相比,该算法在复杂性方面取得了指数级的改进 (O(q*log(N)))
  • 与现有的量子否定算法相比,证明了多项式级别的改进.

结论:

  • 开发的量子消噪算法为SAR图像中的倍数噪声提供了强大的解决方案.
  • 该算法的可行性在IBM Q量子平台上成功验证.
  • 这项工作为更高效的量子图像处理技术铺平了道路.