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相关概念视频

Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

203
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...
203
Upsampling01:22

Upsampling

238
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...
238
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

1.1K
When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
1.1K
Downsampling01:20

Downsampling

159
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...
159

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相关实验视频

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基于混合智能算法的低扭曲可逆数据库水印.

Chuanda Cai1, Changgen Peng1,2, Jin Niu1

  • 1State Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, China.

Mathematical biosciences and engineering : MBE
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概括
此摘要是机器生成的。

这项研究引入了一种强大且可逆的数据库水印技术. 它平衡了数据保护与数据恢复,提高了共享关系数据库的安全性.

关键词:
数据恢复数据的恢复.火虫算法是一种算法.可逆式水印是可以使用的.强度 坚固性 坚固性模拟回火算法模拟回火算法

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科学领域:

  • 计算机科学 计算机科学
  • 信息安全 信息安全
  • 数据管理数据管理

背景情况:

  • 数据库对于信息共享至关重要,但容易受到盗窃和滥用,导致版权和隐私问题.
  • 可逆水印可以保护关系数据库,验证所有权并允许数据恢复.
  • 现有的方法往往会损害数据完整性或对攻击提供不足的保护.

研究的目的:

  • 提出一个强大的和可逆的数据库水印技术.
  • 为了在数据保护和数据恢复之间实现更好的平衡.
  • 增强共享关系数据库的安全性.

主要方法:

  • 使用哈希函数对数字关系数据库进行分组.
  • 实施带重函数来控制数据扭曲和水印能力.
  • 采用火虫算法 (FA) 和模拟回火算法 (SA) 进行高效的水印嵌入.
  • 使用差分扩展嵌入水印.

主要成果:

  • 提出的方法有效地保持了数据质量.
  • 对恶意攻击表现出良好的强度.
  • 在数据保护和恢复能力之间取得了平衡.

结论:

  • 开发的水印技术为保护关系数据库提供了可行的解决方案.
  • 它提供了对攻击的强大保护,同时保持了数据完整性.
  • 这种方法提高了共享数据系统的安全性和可靠性.