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基于时频谱卷积的光信号处理器。

Optical signal processors based on a time-spectrum convolution.

机构信息

Institut National de la Recherche Scientifique-Energie, Matériaux et Télécommunications (INRS-EMT), Varennes, Québec, J3X, 1S2, Canada.

出版信息

Opt Lett. 2010 Mar 15;35(6):796-8. doi: 10.1364/OL.35.000796.

Abstract

We show that a fiber-optics architecture conventionally used for microwave photonic filtering can implement a time-spectrum convolution (TSC) process of general interest for a wide range of fundamental optical signal processing and analysis operations. This process is practically implemented by temporally modulating a specially filtered broadband incoherent light source followed by propagation through a suitable linear dispersive medium. The TSC concept allows the time-domain realization of fundamental analog processing operations over both temporal and spectral intensity waveforms. Three particular, relevant signal-processing operations are proposed and experimentally demonstrated here to illustrate the broad potential of application of the TSC concept, namely time-integration, spectrum-integration, and time-frequency correlation of discrete binary codes.

摘要

我们展示了一种传统上用于微波光子滤波的光纤架构,可以实现时间-频谱卷积(TSC)过程,这对于广泛的基本光学信号处理和分析操作具有普遍的意义。通过对经过特殊滤波的宽带非相干光源进行时间调制,并通过适当的线性色散介质进行传播,即可实际实现该过程。TSC 概念允许在时域中实现对时间和光谱强度波形的基本模拟处理操作。这里提出并实验验证了三个特定的、相关的信号处理操作,以说明 TSC 概念的广泛应用潜力,即离散二进制码的时间积分、频谱积分和时频相关。

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