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Integrated photonic fractional convolution accelerator
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DOI：10.1364/PRJ.517491.png)
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摘要
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An integrated photonic circuit architecture to perform a modified-convolution operation based on the discrete fractional Fourier transform (DFrFT) is introduced. This is accomplished by utilizing two nonuniformly coupled waveguide lattices with equally spaced eigenmode spectra, the lengths of which are chosen so that the DFrFT and its inverse operations are achieved. A programmable modulator array is interlaced so that the required fractional convolution operation is performed. Numerical simulations demonstrate that the proposed architecture can effectively perform smoothing and edge detection tasks even for noisy input signals, which is further verified by electromagnetic wave simulations. Notably, mild lattice defects do not jeopardize the architecture performance, showing its resilience to manufacturing errors. (c) 2024 Chinese Laser Press
Keyword:
FOURIER-TRANSFORM
EIGENVECTORS
EIGENVALUES
PRODUCT
COMPACT
期刊
IF:
7.2
论文数:
2.4K
被引数:
1.3W
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引用论文
A Winograd-Based Integrated Photonics Accelerator for Convolutional Neural Networks基于Winograd的卷积神经网络集成光子学加速器
OAAI
OAAI分享收藏分享收藏Fractional convolution, fractional correlation and their translation invariance properties.png)
SIGNAL PROCESSING
SIGNAL PROCESSINGIF3.6
PREAI
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