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相关概念视频

Convolution Properties II01:17

Convolution Properties II

176
The important convolution properties include width, area, differentiation, and integration properties.
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...
176
Convolution: Math, Graphics, and Discrete Signals01:24

Convolution: Math, Graphics, and Discrete Signals

236
In any LTI (Linear Time-Invariant) system, the convolution of two signals is denoted using a convolution operator, assuming all initial conditions are zero. The convolution integral can be divided into two parts: the zero-input or natural response and the zero-state or forced response, with t0 indicating the initial time.
To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...
236

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可调的光学矩阵卷积20Gbit/s的QPSK二维数据与使用光波混合的内核.

Amir Minoofar, Abdulrahman Alhaddad, Wing Ko

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    光学矩阵卷积可以实现高速,相位编码的数据处理,而无需光学-电子-光学转换. 这种可重新配置的方法使用周期极化酸波导实现了无错误的16-QAM和64-QAM输出.

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    科学领域:

    • 光子学是指光子学的使用方法.
    • 光学信号处理 视觉信号处理
    • 非线性光学是非线性光学.

    背景情况:

    • 光学矩阵卷积比电子方法具有优势,特别是对于高速率的相位编码数据,因为它消除了昂贵的光学-电子-光学 (OEO) 转换.
    • 阶段编码数据格式,如正方形相位移键 (QPSK),对于高容量光通信系统至关重要.

    研究的目的:

    • 实验展示一个可重新配置的光学矩阵卷积系统,用于处理QPSK编码数据.
    • 展示系统处理可变内核大小和高数据速率的能力.

    主要方法:

    • 两维 (2D) 输入数据的序列化和时间移动数据复制 (TSDR) 的生成.
    • 在周期极化酸 (PPLN) 波导中使用非线性波混合的1D内核对2D数据进行卷积.
    • 通过调整内核相对相位和振幅来调整内核系数.

    主要成果:

    • 成功证明了可重新配置的矩阵卷积,为2x1和3x1内核提供无错输出.
    • 在2x1内核中实现了16次方格振幅调制 (QAM) 输出,误差向量大小 (EVM) 为5.1-8.5%.
    • 实现了64-QAM输出,EVM为3x1内核的4.9-5.5%,处理数据的速度从6-20 Gbit/s.

    结论:

    • 拟议的光学矩阵卷积技术是一种可调和可重新配置的方法,用于高速信号处理.
    • 这种方法有效地避免了OEO转换,并实现了低EVM的高阶调制格式,为先进的光通信系统铺平了道路.