相关实验视频

Updated: Jul 9, 2025

Characterization of Anisotropic Leaky Mode Modulators for Holovideo
09:36

Characterization of Anisotropic Leaky Mode Modulators for Holovideo

Published on: March 19, 2016

8.0K

离散的基于哈特利变换的双模式索引调制OFDM用于可见光通信

Xian-Ying Xu, Qi Zhang, Dian-Wu Yue

    Applied optics
    |December 1, 2023
    PubMed
    概括

    本研究引入了可见光通信 (VLC) 用于离散的哈特利变换 (DHT) 的双模式索引调制 (DM-IM). 新方法提高了光谱效率和比特错误率 (BER) 性能,同时降低了复杂性.

    更多相关视频

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping09:43

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

    Published on: March 20, 2017

    9.9K
    Demonstration of Spin-Multiplexed and Direction-Multiplexed All-Dielectric Visible Metaholograms08:48

    Demonstration of Spin-Multiplexed and Direction-Multiplexed All-Dielectric Visible Metaholograms

    Published on: September 25, 2020

    5.8K

    相关概念视频

    Discrete-time Fourier transform01:26

    Discrete-time Fourier transform

    The Discrete-Time Fourier Transform (DTFT) is an essential mathematical tool for analyzing discrete-time signals, converting them from the time domain to the frequency domain. This transformation allows for examining the frequency components of discrete signals, providing insights into their spectral characteristics. In the DTFT, the continuous integral used in the continuous-time Fourier transform is replaced by a summation to accommodate the discrete nature of the signal.
    One of the notable...
    333
    IR Frequency Region: X–H Stretching01:24

    IR Frequency Region: X–H Stretching

    In IR spectroscopy, signals produced by the X−H bonds (such as C−H, O−H, or N−H) can be observed in the frequency range of  2700–4000 cm–1. The C−H stretching vibration forms sharp bands in the region 2850–3000 cm–1. The presence of the O−H stretching vibration leads to the forming of an absorption band in the frequency range 3650–3200 cm−1. At the same time, N−H stretching can be confirmed by absorption bands in...
    983
    Discrete Fourier Transform01:15

    Discrete Fourier Transform

    The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
    295