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相关概念视频

Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

94
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....
94
Upsampling01:22

Upsampling

242
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...
242
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

85
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
85
Properties of Fourier Transform II01:24

Properties of Fourier Transform II

225
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...
225
Properties of Fourier Transform I01:21

Properties of Fourier Transform I

182
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...
182
Power Factor Correction01:20

Power Factor Correction

183
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.
183

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相关实验视频

Updated: Jul 12, 2025

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

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自动编码器辅助的子载波优化,用于非线性频率分割复杂化.

Peiyun Ge, Lixia Xi, Jiayun Deng

    Optics express
    |October 20, 2023
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了一种针对非线性频率分割复杂化 (NFDM) 光学系统的自动编码器优化子载波方案. 这种新方法显著提高了信号质量 (Q-因子) 与传统设计相比.

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    相关实验视频

    Last Updated: Jul 12, 2025

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
    09:43

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    Published on: March 20, 2017

    9.9K
    Generation and Coherent Control of Pulsed Quantum Frequency Combs
    06:42

    Generation and Coherent Control of Pulsed Quantum Frequency Combs

    Published on: June 8, 2018

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    Quasi-light Storage for Optical Data Packets
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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

    背景情况:

    • 非线性频率分割复杂化 (NFDM) 提供非线性无传输,但依赖于子载波设计,通常是sinc函数,这可能不适合非线性频谱.
    • 目前的NFDM设计类似于直角频率分割复合 (OFDM),可能会限制非线性环境中的性能.

    研究的目的:

    • 为双极化 (DP) NFDM系统提出和评估一个自动编码器 (AE) 辅助的次载波优化方案.
    • 通过优化非线性传输的子载波特性来提高NFDM的性能.

    主要方法:

    • 开发了一种基于自动编码器 (AE) 的方法,以优化DP-NFDM系统的子载波函数.
    • 进行了数值模拟,以验证性能改进与已建立的方法 (如sinc子载体和线性最小平均平方误差 (LMMSE) 均等) 相比.

    主要成果:

    • 拟议的AE辅助方案在960公里传输中,与sinc子载体相比,提高了1.54dB的Q因子,与LMMSE等级相比,提高了0.62dB.
    • 经过优化后的子载波器在各种调制格式,传输距离和带宽中表现出了强性.
    • 分析揭示了优化的子载体如何提高非线性光通信系统的性能.

    结论:

    • 自动编码器辅助的子载波优化为提高DP-NFDM系统性能提供了一种新有效的方法.
    • 这种方法为NFDM中的子载波设计提供了新的方向,提高了传输质量和稳定性.