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相关概念视频

Aliasing01:18

Aliasing

124
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
124
Upsampling01:22

Upsampling

217
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...
217

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相关实验视频

Updated: Jun 16, 2025

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

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

9.8K

率自适应式分数间隔等级使高通量光学摄像头通信成为可能.

Shiwen Chen, Meng Xiang, Gai Zhou

    Optics letters
    |August 15, 2024
    PubMed
    概括

    这项研究引入了一个率自适应分数间隔均等 (FA-FSE) 算法,以提高光学相机通信 (OCC) 吞吐量. 这种新的方法有效地解决了符号间干扰和时间偏移,实现了创纪录的数据速率.

    科学领域:

    • 无线通信无线通信
    • 光学通讯是指光学通讯.
    • 信号处理 信号处理

    背景情况:

    • 光学摄像头通信 (OCC) 提供EMI免疫力和高效的频谱使用.
    • 现有的OCC系统受到限制的带宽和时间偏移的影响,从而降低了吞吐量.
    • 符号间干扰 (ISI) 进一步降低了OCC中的性能.

    研究的目的:

    • 为了提高光学摄像头通信 (OCC) 系统的吞吐量.
    • 为了共同减轻OCC中的符号间干扰 (ISI) 和时间偏移.
    • 提出并实验证明一种新的率自适应分数间隔等分法 (FA-FSE) 算法.

    主要方法:

    • 开发一个框架速率自适应分数间隔均等 (FA-FSE) 算法.
    • 在OCC系统中对FA-FSE算法的实验演示.
    • 采用8级脉冲振幅调制 (PAM-8) 与八个芯片内嵌式发光二极管 (COB-LED) 灯条.

    主要成果:

    • 该FA-FSE算法成功地缓解了严重的ISI和时间偏移.
    • 该系统实现了创纪录的总吞吐量250.96 kbit/s.
    • 算法证明了正确和节能的功能.

    更多相关视频

    Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM
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    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
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    相关实验视频

    Last Updated: Jun 16, 2025

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    Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM
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    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
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    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

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    结论:

    • FA-FSE算法是提高OCC系统吞吐量的一种可行的解决方案.
    • 提出的方法克服了当前OCC技术的关键局限性.
    • 这一进步为更高效的光学无线通信铺平了道路.