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相关概念视频

Design Example01:23

Design Example

698
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
698
Deconvolution01:20

Deconvolution

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Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
764
Signal Flow Graphs01:18

Signal Flow Graphs

843
Signal-flow graphs offer a streamlined and intuitive approach to representing control systems, providing an alternative to traditional block diagrams. These graphs use branches to symbolize systems and nodes to represent signals, effectively illustrating the relationships and interactions within the system.
In a signal-flow graph, branches denote the system's transfer functions, while nodes represent the signals. The direction of signal flow is indicated by arrows, with the corresponding...
843
Transformations of Functions III01:20

Transformations of Functions III

304
Transformations modify the graphical representation of a function without changing its fundamental form. One common transformation is reflection, which flips the graph across a designated axis. When the vertical coordinates of all points are multiplied by the negative one, the entire graph is mirrored over the horizontal axis. This transformation reverses the vertical orientation of peaks and troughs, akin to signal inversion in electrical systems, where a waveform is flipped, but the timing of...
304

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图像加密算法基于动态圆形转换和数字管模型

Xiaoqiang Zhang1, Yupeng Song1, Ke Huang1

  • 1School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China.

Entropy (Basel, Switzerland)
|August 28, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种使用动态形转换和数字管模型的新型图像加密算法. 这种方法增强了对各种攻击的图像安全性,确保了安全的存储和传输.

关键词:
曼哈顿的距离一个混乱的系统动态扩散动态圆形变换图像加密

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科学领域:

  • 计算机科学
  • 密码学
  • 信息安全

背景情况:

  • 由于信息技术的快速发展,图像数据容易受到安全风险的影响.
  • 有效的图像加密对于数字图像的安全存储和传输至关重要.

研究的目的:

  • 提出一种新的图像加密算法以提高安全性.
  • 使用动态形转换和数字管模型进行强大的加密.

主要方法:

  • 一个二维的超混沌系统是通过结合Sine,Cubic和May地图来构建的.
  • 通过混乱序列控制的动态转换用于像素编码.
  • 一个数字管模型被设计为使用混乱序列和比特操作的像素值扩散.

主要成果:

  • 混杂的混乱地图显示出卓越的混乱特征.
  • 拟议的算法实现了高信息 (7.9993) 和低相关系数 (水平系数: 0.0008,垂直系数: 0.0001,对角系数: 0.0005).
  • 这种算法对噪音,切割和耗尽性攻击有很强的抵抗力.

结论:

  • 开发的图像加密算法有效地保护图像数据.
  • 动态形转换和数字管模型的结合提供了对各种安全威胁的强大保护.