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of IEEE AES SYSTEMS (5, 9, page 30) Dr. AIfonso Farina of Rome, Italy, provided a very interesting preview of this pap= At the International Radar ECCM Workshop organized by Mr. Johmton in conjunction with RADAR-90, Dr. W Kiembowski of R1.Z described ECCM features of a number of Polish radars. Accordingly, it wns suggested that Part I of this paper be revised to provide information on these newly disclosed rndars including photographs and more information on Polish marine d a m . Although this deloyed publication, it w s felt that the newly released information w s of sufJcient importance to wrranl the delay.It is hoped thut further information will be available for our readers in future issues.

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The article presents a method for image analysis using asynchronous delay-tap sampling (ADTS) technique and convolutional neural networks (CNNs), allowing simultaneous monitoring of many phenomena occurring in the physical layer of the optical network. The ADTS method makes it possible to visualize the course of the optical signal in the form of characteristics (so-called phase portraits), which change their shape under the influence of phenomena (including chromatic dispersion, amplified spontaneous emission noise and other). Using the VPIphotonics software, a simulation model of the ADTS technique was built. After the simulation tests, 10 000 images were obtained, which after proper preparation were subjected to further analysis using CNN algorithms. The main goal of the study was to train a CNN to recognize the selected impairment (distortion); then to test its accuracy and estimate the impairment for the selected set of test images. The input data consisted of processed binary images in the form of two-dimensional matrices, with the position of the pixel. This article focuses on the analysis of images containing simultaneously the phenomena of chromatic dispersion and optical signal to noise ratio.

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