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相关概念视频

Source Transformation for AC Circuits01:11

Source Transformation for AC Circuits

555
The process of source transformation in the frequency domain entails the conversion of a voltage source, positioned in series with an impedance, into a current source that is parallel to an impedance, or the other way around. It is essential to maintain the following relationships while transitioning from one source type to another.
555
Phasor Arithmetics01:13

Phasor Arithmetics

258
Phasors and their corresponding sinusoids are interrelated, offering unique insights into the behavior of alternating current (AC) circuits. One way to understand this relationship is through the operations of differentiation and integration in both the time and phasor domains.
When the derivative of a sinusoid is taken in the time domain, it transforms into its corresponding phasor multiplied by j-omega (jω) in the phasor domain, where j is the imaginary unit, and ω is the angular...
258
Nuclear Transmutation03:20

Nuclear Transmutation

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Nuclear transmutation is the conversion of one nuclide into another. It can occur by the radioactive decay of a nucleus, or the reaction of a nucleus with another particle. The first manmade nucleus was produced in Ernest Rutherford’s laboratory in 1919 by a transmutation reaction, the bombardment of one type of nuclei with other nuclei or with neutrons. Rutherford bombarded nitrogen-14 atoms with high-speed α particles from a natural radioactive isotope of radium and observed...
17.5K
Fast Fourier Transform01:10

Fast Fourier Transform

287
The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
287

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相关实验视频

Updated: Jun 14, 2025

Construction of Synthetic Phage Displayed Fab Library with Tailored Diversity
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基于多个深度动态转换的高性能FPGA PRNG.

Shouliang Li1, Zichen Lin1, Yi Yang1

  • 1School of Information Science & Engineering, Lanzhou University, Lanzhou 730000, China.

Entropy (Basel, Switzerland)
|August 29, 2024
PubMed
概括
此摘要是机器生成的。

一个新的多重深动态转换 (MDDT) 算法增强了高速伪随机数生成器 (PRNG) 的混乱映射. 这种基于FPGA的PRNG符合严格的NIST,diehard和TestU01标准,非常适合信息安全应用.

关键词:
在FPGA实施过程中.美国国家理工学院SP800-22测试U01 测试U01 测试混乱的地图 混乱的地图网络安全 网络安全迪哈德测试的测试嵌入式系统 嵌入式系统这是高速计算的高速度计算.多重深动态转换 (MDDT) 是一种非线性动力学的非线性动态伪随机数发生器 (PRNG)随机数生成器是一个随机数生成器.

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科学领域:

  • 信息安全 信息安全
  • 应用数学 应用数学 应用数学
  • 计算机工程 计算机工程

背景情况:

  • 伪随机数生成器 (PRNG) 对密码学,统计分析以及人工智能和大数据等新兴领域至关重要.
  • 对于高速,高质量的随机数生成的日益增长的需求需要创新的解决方案.

研究的目的:

  • 开发一种新的PRNG算法,以满足日益增长的高速,高质量的随机数生成需求.
  • 为信息安全应用实施和评估拟议的PRNG的性能.

主要方法:

  • 开发了一个多重深动态转换 (MDDT) 算法,与复杂动态的倾斜帐图集成.
  • 在Xilinx xc7k325tffg900-2的现场可编程门阵列 (FPGA) 上实现了改进的一维离散混乱映射.
  • 使用NIST SP800-22,diehard和TestU01测试套件验证了PRNG的质量.

主要成果:

  • 拟议的PRNG成功通过了所有NIST SP800-22,diehard和TestU01统计测试.
  • 在150 MHz时钟频率上运行,实现了高新性能的性能.
  • 达到14.4 Gbps的最大吞吐量,超过了大多数现有研究.

结论:

  • 基于MDDT的混乱PRNG提供了卓越的性能和高新性.
  • FPGA的实施是高效的,适合要求信息安全的嵌入式应用程序.
  • 这项工作为高速伪随机数生成提供了强大的解决方案.