论文信息 - Remote image classification through multimode optical fiber using a neural network.

Remote image classification through multimode optical fiber using a neural network.

A novel method of classifying remote image through a multimode optical fiber by using neural networks is proposed and experimentally tested. A neural network is used to recognize the original image from a pattern transmitted through an optical fiber.

[1] L.D. Jackel,et al. Analog electronic neural network circuits , 1989, IEEE Circuits and Devices Magazine.

[2] D N Payne,et al. Mode conversion coefficients in optical fibers. , 1975, Applied optics.

[3] A M Tai,et al. Transmission of two-dimensional images through a single optical fiber by wavelength-time encoding. , 1983, Optics letters.

[4] M. Koga,et al. A novel optical WDM demultiplexer consisting of a simple optical multimode guide and an electrical neural network , 1990, IEEE Photonics Technology Letters.

[5] Amnon Yariv,et al. Image phase compensation and real‐time holography by four‐wave mixing in optical fibers , 1978 .