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相关概念视频

Upsampling01:22

Upsampling

200
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...
200
Time and frequency -Domain Interpretation of Phase-lead Control01:24

Time and frequency -Domain Interpretation of Phase-lead Control

76
Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
76
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

167
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...
167
Power Factor Correction01:20

Power Factor Correction

155
The power transmission to a factory involves the transfer of apparent power, a combination of active and reactive power. The power factor measures how effectively electrical power is converted into useful work output. The ratio of the real power (KW) that does the work to the apparent power (KVA) supplied to the circuit.
155

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相关实验视频

Updated: May 31, 2025

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
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量子随机数发生器的后处理方法,基于零相元件分析,白化.

Longju Liu1, Jie Yang1, Mei Wu1

  • 1National Key Laboratory of Security Communication, Institute of Southwestern Communication, Chengdu 610041, China.

Entropy (Basel, Switzerland)
|January 24, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了零相组件分析 (ZCA) 漂白,以改进量子随机数发生器 (QRNG). 该方法提高了原始数据的质量,使QRNG能够通过NIST的随机性测试.

关键词:
后处理 后处理 后处理量子随机数生成器是一个量子随机数生成器.零阶段组件分析 漂白

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相关实验视频

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科学领域:

  • 量子物理学 量子物理学 是一种量子物理学.
  • 信息安全 信息安全

背景情况:

  • 量子随机数发生器 (QRNGs) 在理论上提供了完美的随机性.
  • 实际的QRNG实现存在噪音和缺陷,降低随机位质量.
  • 后处理对于从原始QRNG数据中提取真正的量子随机性至关重要.

研究的目的:

  • 提出和实验验证QRNG的新型后处理方法.
  • 为了提高QRNGs随机位的质量和生成率.
  • 为了确保最终的随机位符合严格的随机性标准.

主要方法:

  • 开发了一种使用零相组件分析 (ZCA) 漂白的后处理技术.
  • 通过时间和光谱域分析实验验验证了该方法.
  • 在ZCA白化后应用随机提取.

主要成果:

  • 在原始QRNG数据中,ZCA白化有效地降低了自身相关性.
  • 该方法平整了原始数据频谱,增强了随机性.
  • 后处理的随机数字成功通过了NIST统计测试套件.

结论:

  • 对于QRNG来说,ZCA白化是一种有效的后处理技术.
  • 拟议的方法显著提高了QRNG的质量和生成率.
  • 这种方法可以确保为安全应用程序生成高质量的,可认证的随机数字.