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相关概念视频

Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

131
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
131
Properties of Fourier Transform II01:24

Properties of Fourier Transform II

312
The Fourier Transform (FT) is an essential mathematical tool in signal processing, transforming a time-domain signal into its frequency-domain representation. This transformation elucidates the relationship between time and frequency domains through several properties, each revealing unique aspects of signal behavior.
The Frequency Shifting property of Fourier Transforms highlights that a shift in the frequency domain corresponds to a phase shift in the time domain. Mathematically, if x(t) has...
312
Properties of Fourier Transform I01:21

Properties of Fourier Transform I

233
The application of Fourier Transform properties in radio broadcasting is multifaceted, enabling significant advancements in the way signals are transmitted and received. Key areas where these properties are utilized include simultaneous multi-channel transmission, audio clip speed adjustments, live broadcast delays for different time zones, audio frequency adjustments, and signal demodulation.
In radio broadcasting, multiple audio signals often need to be transmitted simultaneously. The Fourier...
233
Network Function of a Circuit01:25

Network Function of a Circuit

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Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
390
Transmission-Line Differential Equations01:26

Transmission-Line Differential Equations

403
Transmission lines are essential components of electrical power systems. They are characterized by the distributed nature of resistance (R), inductance (L), and capacitance (C) per unit length. To analyze these lines, differential equations are employed to model the variations in voltage and current along the line.
Line Section Model
A circuit representing a line section of length Δx helps in understanding the transmission line parameters. The voltage V(x) and current i(x) are measured...
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Design Example01:23

Design Example

372
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...
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相关实验视频

Updated: Sep 11, 2025

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
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基于神经网络的等分器用于非线性频率分割多重传输传输.

Ruichen Wang, Qingsong Hu, Junhe Zhou

    Applied optics
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    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了一种用于非线性频率分割多重复合 (NFDM) 系统的新型神经网络等级器. 新方法有效地检索信息,并减少光纤网络的复杂性.

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    科学领域:

    • 光学通信是指光学通信.
    • 信号处理 信号处理
    • 人工智能的人工智能

    背景情况:

    • 非线性频率分割复杂化 (NFDM) 是一种有希望的技术,用于减轻光纤网络中因非线性引起的信号扭曲.
    • 在NFDM系统中检索信息是具有挑战性的,因为在传播过程中信号会受到干扰.
    • 现有的方法在双极化NFDM (DP-NFDM) 系统中难以应对接收器的复杂性.

    研究的目的:

    • 为NFDM系统提出一种基于神经网络 (NN) 的新型均衡器.
    • 为了应对扰乱的NFDM信号中的信息检索挑战.
    • 为了减少DP-NFDM系统中接收器的计算复杂性.

    主要方法:

    • 提出了一个非线性频域神经网络 (NN) 均衡器,利用不同固有值的调制信息之间的相位关系.
    • 使用具有类似参数的时间域NN来管理整体接收器复杂性.
    • 拟议的基于NN的等分器在双极化NFDM (DP-NFDM) 传输系统中进行了测试.

    主要成果:

    • 提出的基于NN的等分器成功地保持了低位错误率 (BER).
    • 在传输距离高达2800公里后,可以实现有效的信号检索.
    • 该方法证明了显著的性能提升和减少计算复杂性.

    结论:

    • 这种基于NN的新型均衡器有效地解决了NFDM系统中的信号干扰问题.
    • 拟议的方法为DP-NFDM中复杂的接收器设计提供了可行的解决方案.
    • 这项研究促进了NFDM在高容量光纤网络中的实际应用.