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相关概念视频

¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

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Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
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Pole and System Stability01:24

Pole and System Stability

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The transfer function is a fundamental concept representing the ratio of two polynomials. The numerator and denominator encapsulate the system's dynamics. The zeros and poles of this transfer function are critical in determining the system's behavior and stability.
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
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相关实验视频

Updated: May 10, 2025

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
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相互信息神经估计驱动的星座塑造设计和性能分析.

Xiuli Ji1, Qian Wang1, Liping Qian1

  • 1Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou 310023, China.

Entropy (Basel, Switzerland)
|April 26, 2025
PubMed
概括

使用相互信息神经估计 (MINE) 的新型深度学习技术优化了对高速通信的星座塑造. 这些方法提高了相互信息 (MI) 的性能,为无线和光学系统提供了更简单,更有效的方法.

关键词:
形成星座的形状.一个高层次的QAM.相互信息最大化,最大化的信息.相互信息的神经估计神经估计.

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科学领域:

  • 光学和无线通信.
  • 信息理论 信息理论
  • 深度学习应用程序

背景情况:

  • 星座设计显著影响无线和光通信性能.
  • 高速系统中的高阶调制需要先进的星座塑造以增加容量.
  • 传统的成型方法往往涉及复杂的计算和结构要求.

研究的目的:

  • 提出基于相互信息神经估计 (MINE) 的新型几何,概率和联合星座塑造方案 (MINE-GCS,MINE-PCS,MINE-JCS).
  • 在使用深度学习 (DL) 的高速连贯通信系统中最大限度地提高相互信息 (MI).
  • 开发一种传输器侧优化方法,避免传统成型技术的复杂性.

主要方法:

  • 引入一个MINE模块,通过反向传播估计和最大化MI,独立于通道状态信息.
  • 训练编码器和概率生成器网络在各种信号噪声比率上,以优化星座点分布和概率.
  • 将MI计算转化为使用MINE.的参数优化问题.

主要成果:

  • 基于MINE的方案显示出优越的MI性能,与未成形的正方形振幅调制 (QAM) 和其他基于DL的联合成形方案相比.
  • 在添加式白色高斯噪声下,MINE-JCS实现了最佳性能.
  • 一个低级的8aryMINE-GCS显示MI增益大约为0.1比特/符号超过无形的Star-8QAM.

结论:

  • 提出的基于MINE的星座塑造方案有效地最大限度地提高了相互信息.
  • 这些方法在实施复杂性和MI性能之间提供了平衡.
  • 这些方案可以适应各种噪音和色条件的实际应用.